Data Entry Jobs in Algeria

<p><font dir="auto" ><font dir="auto" >Enter and verify data. Update databases and platforms. Classify digital documents. Respect the confidentiality of information.</font></font></p><p><strong>Desired Candidate Profile</strong></p><p><font dir="auto" ><font dir="auto" >Excellent command of computer tools and digital platforms. Good typing speed and attention to detail. Strong organizational skills and discretion.</font></font></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Previous experience in data entry, administration, or similar roles is an advantage.</p></li><li><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p></li></ul><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The position details will be shared via Telegram. Interested parties are requested to contact us on Telegram using the link provided below: Details...https://t.me/Amandafoster13</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p><p>The Data Analytics team is part of Yassir s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>2-5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</li><li>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</li><li>Proficiency in Python for data analysis, statistical modeling, and data visualization.</li><li>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</li><li>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</li><li>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</li><li>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</li><li>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</li><li>Strong problem-solving, analytical thinking, and attention to detail.</li><li>Excellent written and verbal communication skills in English.</li></ul><p><strong>Nice to have</strong></p><ul><li>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</li><li>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</li><li>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><br> <strong>About the Role</strong> <p>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p> <strong>About the Team</strong> <p>The Data Analytics team is part of Yassir s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</p> <br> <strong>Key Responsibilities</strong> <ul> <li> <p>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</p> </li> <li> <p>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</p> </li> <li> <p>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</p> </li> <li> <p>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</p> </li> <li> <p>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</p> </li> <li> <p>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</p> </li> <li> <p>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</p> </li> <li> <p>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</p> </li> <li> <p>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</p> </li> <li> <p>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</p> </li> </ul> <br> <strong>Key Requirements</strong> Essential <br><ul> <li> <p>2 5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</p> </li> <li> <p>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</p> </li> <li> <p>Proficiency in Python for data analysis, statistical modeling, and data visualization.</p> </li> <li> <p>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</p> </li> <li> <p>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</p> </li> <li> <p>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</p> </li> <li> <p>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</p> </li> <li> <p>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</p> </li> <li> <p>Strong problem-solving, analytical thinking, and attention to detail.</p> </li> <li> <p>Excellent written and verbal communication skills in English.</p> </li> </ul> Nice to have <br><ul> <li> <p>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</p> </li> <li> <p>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</p> </li> <li> <p>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</p></li></ul></div></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong><span>About Yassir</span></strong> <p><span>Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.</span></p><br> <p><span>By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.</span></p><br> <br> <p><strong><span>yassir.com</span></strong></p><br> <strong><span>About the Role</span></strong> <p><span>Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems.</span></p><br> <strong><span>About the Team</span></strong> <p><span>The Data Analytics team is part of Yassir’s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!</span></p><br> <br> <strong><span>Key Responsibilities</span></strong> <ul> <li> <p><span>Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products.</span></p><br> </li> <li> <p><span>Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making.</span></p><br> </li> <li> <p><span>Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics.</span></p><br> </li> <li> <p><span>Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance.</span></p><br> </li> <li> <p><span>Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data.</span></p><br> </li> <li> <p><span>Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements.</span></p><br> </li> <li> <p><span>Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives.</span></p><br> </li> <li> <p><span>Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements.</span></p><br> </li> <li> <p><span>Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy.</span></p><br> </li> <li> <p><span>Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards.</span></p><br> </li> </ul> <br> <strong><span>Key Requirements</span></strong> <span>Essential</span> <ul> <li> <p><span>2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role.</span></p><br> </li> <li> <p><span>Strong SQL skills and practical experience working with large-scale customer and transaction datasets.</span></p><br> </li> <li> <p><span>Proficiency in Python for data analysis, statistical modeling, and data visualization.</span></p><br> </li> <li> <p><span>Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services.</span></p><br> </li> <li> <p><span>Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making.</span></p><br> </li> <li> <p><span>Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI.</span></p><br> </li> <li> <p><span>Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders.</span></p><br> </li> <li> <p><span>Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery.</span></p><br> </li> <li> <p><span>Strong problem-solving, analytical thinking, and attention to detail.</span></p><br> </li> <li> <p><span>Excellent written and verbal communication skills in English.</span></p><br> </li> </ul> <span>Nice to have</span> <ul> <li> <p><span>Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products.</span></p><br> </li> <li> <p><span>Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics.</span></p><br> </li> <li> <p><span>Exposure to machine learning, customer segmentation, or predictive analytics use cases.</span></p><br> </li> </ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsibilities</p><ul><li>Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics.</li><li>Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics.</li><li>Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes.</li><li>Serve as a data ambassador, promoting a data-driven marketing culture within the organization.</li><li>Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders.</li><li>Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts.</li><li>Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies.</li><li>Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.</li><li>A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.</li><li>Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)</li><li>Language skills : French and English (fluent) , Arabic is an advantage</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a motivated Entry-Level Data and Infrastructure Engineer to join our team in Algeria. This role focuses on two main areas: managing and transforming data from multiple sources into structured formats for analysis, and designing, supporting, and maintaining cloud computing environments. This is an exciting opportunity to gain hands-on experience with cloud technologies, data infrastructure, and digital solutions.</p><p><strong>Key Responsibilities</strong></p><p><strong>Data Management:</strong></p><ul><li>Organize, collect, process, and store data from multiple sources</li><li>Transform raw, unstructured data into usable formats for analysis</li><li>Perform data mapping and quality control across one or more data sources</li><li>Assemble large, complex datasets meeting business requirements</li><li>Support data loading, migration, and retrieval tasks</li><li>Advise on data governance, policies, roles, and dataflow</li><li>Assess company data and infrastructure environments and propose improvements</li><li>Work with stakeholders including data, design, product, and executive teams to resolve data-related technical issues</li></ul><p><strong>Infrastructure &amp; Cloud Support:</strong></p><ul><li>Design, plan, manage, maintain, and support cloud computing environments (AWS, Azure, Google Cloud)</li><li>Collaborate with engineering teams to ensure digital applications run efficiently on cloud infrastructure</li><li>Deploy applications using container technologies such as Docker and Kubernetes</li><li>Maintain existing databases (SQL, NoSQL, Postgres) and related infrastructure</li><li>Debug technical issues in complex stacks involving virtualization, containers, and microservices</li><li>Use API knowledge to design RESTful services and integrate them with existing data providers</li><li>Operate, develop, test, and implement infrastructure systems and hardware with automation in mind</li><li>Install and configure IoT Agora solutions, including network setup and SDK implementation</li><li>Support on-premises applications, including licensing, installation, and configuration</li><li>Maintain accurate and up-to-date documentation on all activities</li><li>Participate in out-of-office on-call rotations as required</li><li>Gain experience with OpenStack, Linux/UNIX, Rackspace, Docker, and Microsoft Azure</li><li>Work with OSDU community code and Schlumberger Enterprise Data Management (EDM) workflows</li></ul><p><strong>What We Offer</strong></p><ul><li>Hands-on experience with cloud computing, data infrastructure, and digital applications</li><li>Mentoring from experienced engineers and IT specialists</li><li>Exposure to real-world projects and customer-facing tasks</li><li>Career development opportunities in data engineering and cloud technologies</li><li>Collaborative and supportive work environment</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Qualifications &amp; Experience</strong></p><ul><li>Engineering degree in Computer Science, Information Technology, Data Engineering, Cloud Computing, or related field</li><li>Basic understanding of cloud platforms (AWS, Azure, GCP), virtualization, containers, and data management</li><li>Familiarity with SQL, NoSQL, Docker, Kubernetes, and Linux/UNIX environments is a plus</li><li>Analytical, problem-solving, and organizational skills</li><li>Good communication and teamwork abilities</li><li>Motivation to learn and grow in data and infrastructure engineering</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Saisir, v rifier et mettre jour les donn es informatiques dans les syst mes ou bases de donn es. Contr ler la coh rence et la qualit des informations saisies. Assurer le classement, archivage et la num risation des documents. Collaborer avec les autres services pour garantir la fiabilit des donn es administratives. Respecter les d lais de saisie et les proc dures internes.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bonne ma trise des outils informatiques (Word, Excel, logiciels de gestion de donn es). Sens du d tail, rigueur et discr tion professionnelle. Organisation et capacit g rer un volume important d informations. Niveau Bac ou plus, formation en administration ou informatique souhait e.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The first level of technical intervention (first responder) responsible for the maintenance, troubleshooting, and optimization of the WMS application. Automate daily activity reports and KPI reporting using reporting tools such as Power BI. Provide necessary support for users of the WMS application. Participate in the implementation of internal integration solutions as well as integration solutions for clients and users. Identify and resolve recurring problems, and propose improvements to IT support work methods to increase efficiency and performance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Possessing a diploma in logistics or equivalent</li><li>Having previously used WMS</li><li>Proficient in Power BI and Excel</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Production Operations Engineer is responsible for assisting in delivery of safe, efficient, and reliable products and services to our customers. The job consults with operations groups as needed to support the area of expertise and identifies opportunities for continuous improvement of product and service delivery and formally communicates findings. The Production Operations Engineer actively participates in promoting new technology and services offerings and supports the PL in risk management and applying lessons learned to improve job design and execution as related to the area of expertise. They provide real-time support to operations as required. Provide technical support in the area of expertise throughout the Sales and Product and Service Delivery process. Assist as required with the development of technical job designs for PLs. Assist with identifying areas where new and cost effective techniques can be applied. Explore opportunities for value-added products and services. Consult with Design/Technical Engineer role as required to optimize the technical design. Assist in real-time incident response, recovery, and investigation as related to the area of expertise. Assist in evaluating technical viability and overall appraisal of tenders as related to the area of expertise. Remain current on new technologies. Maintain customer visibility through active participation in professional society activities and calls for papers. Understand the competition s technical offering. Participate in external technical societies and communities. Contribute, write and review technical publications. Engage with local universities, Customer institutes and research organizations.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Minimum Bachelor degree</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Provide daily administrative support (mail, filing, archiving). Draft and format administrative documents. Greet and direct visitors and callers. Track files and process internal requests. Manage data entry and database updates.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Proficient in office software (Word, Excel, Outlook). Strong organizational skills and attention to detail. Discretion and respect for confidentiality. Good analytical and problem-solving skills.</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Greet customers and identify their needs at the branch. Offer the company's products and services. Complete sales transactions according to procedures, memos, and operating methods. Collect payments for invoices and purchases made by customers. Perform data entry tasks on the system, file archiving, and mail processing. Participate in promotional activities and mobile sales operations.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >University degree or advanced vocational diploma. Specialization: economics, management, business. If you meet this profile, please send your CV by clicking on the "Apply" tab (Algiers).</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Maintaining general accounting records (data entry, bank reconciliations), </font></font><br><font dir="auto" ><font dir="auto" >preparing tax and parafiscal returns, </font></font><br><font dir="auto" ><font dir="auto" >monitoring customer and supplier invoices, </font></font><br><font dir="auto" ><font dir="auto" >preparing balance sheets and profit and loss statements, </font></font><br><font dir="auto" ><font dir="auto" >managing cash flow, </font></font><br><font dir="auto" ><font dir="auto" >and collaborating with the auditor/chartered accountant.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><font dir="auto" ><font dir="auto" >Degree in accounting, finance or management (minimum Bachelor's degree + 3 years)</font></font></li><li><font dir="auto" ><font dir="auto" >Four years of experience in a similar position</font></font></li><li><font dir="auto" ><font dir="auto" >My proficiency with computer tools (Excel, accounting software)</font></font></li><li><font dir="auto" ><font dir="auto" >Good knowledge of Algerian tax legislation</font></font></li><li><font dir="auto" ><font dir="auto" >Rigour, organisation and a sense of confidentiality</font></font></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul> <li><font dir="auto" ><font dir="auto" ><font dir="auto" ><font dir="auto" >Accountant</font></font></font></font></li><li><font dir="auto" ><font dir="auto" >Maintaining general accounting records (data entry, bank reconciliations)</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Preparation of tax and parafiscal declarations</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Monitoring of customer and supplier invoices</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Preparation of balance sheets and income statements</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Gestion de la tr sorerie</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Collaboration with the auditor / chartered accountant</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Degree in accounting, finance or management (minimum Bachelor's degree + 3 years)</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Four years of experience in a similar position</font></font><br></li> <li><font dir="auto" ><font dir="auto" >My proficiency with computer tools (Excel, accounting software)</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Good knowledge of Algerian tax legislation</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Rigour, organisation and a sense of confidentiality</font></font></li> </ul> <p> <u> <b><font dir="auto" ><font dir="auto" >Benefits :</font></font><br></b> </u> </p> <ul> <li><font dir="auto" ><font dir="auto" >Dynamic environment</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Possibility of SD Volation</font></font><br></li> <li><font dir="auto" ><font dir="auto" >Motivating remuneration</font></font></li> <li><font dir="auto" ><font dir="auto" >Transport assured</font></font></li> </ul><font dir="auto" ><font dir="auto" >S tif Ouled Sabor</font></font></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Previous experience in data entry, administration, or similar roles is an advantage.</p></li><li><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p></li></ul><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>The position details will be shared via Telegram. Interested parties are requested to contact us on Telegram using the username provided below: AMANDA FOSTER </p><p></p></section>