SQL Jobs in Algeria

<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>

<p>Gestion et optimisation de l'ERP CEGID Piloter le projet d'int gration, d'utilisation et de mont e en version du logiciel de gestion CEGID. Analyser les besoins des diff rents services (comptabilit , finance, commercial, stock, etc.) et les traduire en fonctionnalit s dans CEGID. Automatiser et optimiser les flux de travail (workflows) au sein de la plateforme. Concevoir des tableaux de bord, rapports et indicateurs de performance (reporting) personnalis s. Assurer la formation, l'accompagnement et l'assistance aux utilisateurs au quotidien pour maximiser l'adoption de l'outil. G rer la relation avec l' diteur CEGID et les prestataires/int grateurs externes. Gestion des infrastructures et du r seau Administrer et maintenir en condition op rationnelle le parc informatique (serveurs, postes de travail, r seaux, t l phonie). Veiller la s curit informatique du r seau, des acc s et des donn es (mises jour, pare-feu, antivirus, sauvegardes). G rer la politique d'acc s et d'habilitation des utilisateurs aux diff rents syst mes. Support et assistance utilisateur Superviser ou assurer le support technique N1/N2/N3 aupr s des collaborateurs. R soudre les incidents mat riels et logiciels dans les meilleurs d lais. Strat gie IT et gestion des projets R diger la documentation technique et les proc dures d'utilisation. G rer les relations avec l'ensemble des fournisseurs IT et contr ler les co ts informatiques.</p><p><strong>Desired Candidate Profile</strong></p><p>Formation : Bac+4/5 en Informatique, Syst me d'Information . Exp rience : Exp rience r ussie d'au moins 3 5 ans sur un poste similaire (Responsable IT, Chef de projet ERP ou Administrateur Syst me/ERP). Comp tences cl s : Excellente ma trise du logiciel CEGID (param trage, bases de donn es, requ tes/reporting). Solides comp tences en administration syst me et r seau (Windows Server, SQL Server, sauvegarde, s curit ). Bonnes capacit s d'analyse des processus m tiers de l'entreprise.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions.<br> With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.<br> About the Role Our client is a leading industrial technology and engineering organization specializing in warehouse automation, logistics optimization, and digital supply chain solutions.<br> Their teams design, deploy, and support software platforms that control and optimize complex warehouse operations for customers across multiple industries.<br> We are looking for an Application Support Engineer to help maintain and support Warehouse Control Systems (WCS) deployed in production environments.<br> This role combines technical support, troubleshooting, incident management, software maintenance, and customer interaction.<br> The ideal candidate enjoys solving technical issues, working directly with users, and ensuring mission-critical logistics systems operate reliably.<br> CONTRACT: Permanent (CDI) LOCATION: Oullins/Lyon area, France (Hybrid) PROCESS: 3 client interviews NOTE: The client is open to sponsoring the visa and relocation Key Responsibilities Serve as the primary contact for customers requiring application support Manage support tickets and ensure compliance with SLA commitments Investigate, diagnose, and resolve software and system incidents Perform remote troubleshooting and technical interventions Implement corrective actions and temporary workarounds when needed Collaborate with development and technical teams on complex issues Maintain accurate documentation of incidents and resolutions Coordinate on-site interventions when remote support is insufficient Perform preventive maintenance and system audits at customer locations Contribute to improving technical documentation and knowledge bases 3+ years of experience in application support , software maintenance, or technical support roles Strong knowledge of SQL and relational databases Experience with C# , C++ , or object-oriented programming environments Experience troubleshooting software applications in production environments Understanding of Windows-based application ecosystems Ability to analyze incidents and identify root causes Fluent French (written and spoken) Bachelor's degree or higher in Computer Science, Software Engineering, Information Systems, or related field</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Yassir</strong>&nbsp;is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in&nbsp;<strong>45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa</strong>. It is backed (~<strong>$200M in funding</strong>) by VCs from Silicon Valley, Europe and other parts of the world.<br> We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.<br> Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.<br> <strong>About the Role:&nbsp;</strong>We are seeking a visionary&nbsp;<strong>Analytics Manager</strong>&nbsp;to lead and expand our analytics capabilities. This pivotal role will oversee a dynamic team of business intelligence specialists and data analysts who are responsible for delivering actionable insights across Yassir’s ecosystem. You will be a key player in shaping Yassir’s data-driven strategy, enabling business growth, improving operational efficiency, and enhancing customer satisfaction across our ride-hailing, food delivery, and financial services verticals.<br> <br> <br> Key Responsibilities:<br> <ul> <li><strong><span>Strategic Leadership:</span></strong></li> <li>Develop and implement Yassir’s analytics strategy, ensuring alignment with business objectives across diverse markets.</li> <li>Build and scale a robust analytics framework to support strategic decision-making across product, operations, marketing, and finance.</li> <li><strong><span>Team Development and Management:</span></strong></li> <li>Lead, mentor, and inspire a team of data analysts and BI professionals, fostering a culture of collaboration and innovation.</li> <li>Ensure professional development and alignment of team goals with Yassir’s mission and business priorities.</li> <li>Establish best practices for data governance, reporting, and visualization.</li> <li><strong><span>Insights and Decision Support:</span></strong></li> <li>Collaborate with leadership and functional teams to translate business challenges into analytics-driven solutions.</li> <li>Oversee the creation of dashboards, KPIs, and ad hoc analyses to support product optimization, operational excellence, and customer retention.</li> <li>Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization.</li> <li><strong><span>Operational Excellence:</span></strong></li> <li>Partner with data engineering to ensure the quality, integrity, and scalability of Yassir’s data infrastructure.</li> <li>Manage and prioritize analytics initiatives, ensuring timely delivery and measurable impact.</li> </ul> <br> <br> <br> What We're Looking For:<br> <ul> <li><strong><span>Experience:</span></strong></li> <li>8+ years in analytics, business intelligence, or similar roles, with at least 3 years managing teams.</li> <li>Experience scaling analytics functions in fast-paced, high-growth environments, ideally within tech or platform businesses.</li> <li><span><strong>Technical Expertise:</strong></span></li> <li>Proficiency in analytics tools (e.g., SQL, Tableau, Looker, or Power BI).</li> <li>Familiarity with data warehousing solutions (e.g., Snowflake, BigQuery) and ETL processes.</li> <li>Strong analytical skills and a proven ability to convert data into actionable insights.</li> <li><strong><span>Leadership and Collaboration:</span></strong></li> <li>Exceptional communication and stakeholder management skills to align technical teams and business leaders.</li> <li>Experience leading multicultural teams across diverse geographies.</li> <li>Proven track record of hiring, retaining and growing top talent in various data-related disciplines</li> <li><span><strong>Education:</strong></span></li> <li>Master’s degree in computer science, Statistics, Economics, or related fields; advanced degrees are a plus.</li> </ul> <br> <br> <br> Nice-to-Have:<br> <ul> <li>Proficiency working in French.&nbsp;</li> <li>Experience in ride-hailing, food delivery, or fintech industries.</li> <li>Knowledge of advanced analytics techniques, including machine learning or predictive modeling.</li> <li>Experience working in the geographies where Yassir operates.&nbsp;</li> </ul> <br> <br> <br> Why Join Yassir?<br> <ul> <li><em>At Yassir, you’ll be part of a mission-driven team working to revolutionize the way people live and work in the MENA region and beyond. Join us to shape the future of on-demand services and fintech while enjoying:</em></li> <li>A competitive compensation package and equity.</li> <li>Professional growth opportunities in a fast-growing, Series B-funded startup.</li> <li>The chance to build a world-class technology company in North Africa.&nbsp;</li> </ul> <br> <br> <br> <br><br> </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>&nbsp;Context &amp; Vision</p><br> <p>In 2026, writing code is no longer the primary bottleneck; managing its complexity and ensuring its reliability is. We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way.</p><br> <p>To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt.</p><br> <p>This role owns the data engine underneath the platform: the streams, segments and audiences that make advertising intelligent.</p><br> <p>The Role</p><br> <p>You will own the data and DMP layer end to end — the event streams flowing in, the segment and audience computation, and the analytical stores that feed targeting and reporting. What we hire for is judgment: the problems here are hard in the interesting way, and the interesting part is the tradeoffs you choose.</p><br> <p>1. Hard problems, at real-time scale.Computing audiences and measurement over very large, high-velocity event streams, in near-real-time, where being right is not always the same as being exact and every choice has a real cost. We describe the problems; we expect you to bring the approach.</p><br> <p>2. Stream-First Pipeline.Own the ingestion and processing pipeline. It is stream-first by design; you keep it that way rather than falling back to batch.</p><br> <p>3. Segments &amp; Audiences.Own how raw signals become targetable audiences — how they are computed, stored, refreshed, and exposed to the serving path. This is the intelligence layer of the product.</p><br> <p>4. AI-First Delivery &amp; Governance. We expect AI to write most of the code; you are the editor, not the typist. You specify work as explicit, self-sufficient issues, direct agentic tooling to implement, and gatekeep every diff. Schemas, data contracts and Architecture Decision Records are documented. If it is not written down, it does not exist.</p><br> <p>&nbsp;The Tech Environment</p><br> <p>- Data: event streaming and stream processing, relational and analytical stores.<br>- Language: the codebase is a compiled systems language; we care more about how you reason about data than about the language you arrive with.<br>- Domain: DMP, segments, audiences, identity, measurement.<br>- Cloud: Google Cloud Platform, Kubernetes.</p><br> <p>Profile &amp; Requirements</p><br> <p>We are looking for a data-minded engineer who frames a problem before reaching for a tool, owns correctness, and thrives in a lean, high-quality environment. This role is not suited to someone who wants a narrow, hand-fed scope inside a large team.</p><br> <p>Essential Experience</p><br> <p>- 5+ years building data or backend systems in production, with genuine ownership of a pipeline's reliability and the correctness of its output.<br>- Depth on hard data problems— you have built things where scale, real time, or accuracy made the design non-obvious, and you can talk through the tradeoffs you chose and why.<br>- Streaming experience and a real grasp of stream-vs-batch tradeoffs, event modelling, and schema evolution.<br>- Comfort in a compiled systems language (Rust, Go, C++, Scala or similar). The codebase is Rust; the language is the tool, the data thinking is the skill.<br>- Working knowledge of an analytical data store and SQL. DMP / ad-data or audience/segmentation experience is a strong plus.</p><br> <p>Core Competencies &amp; Mindset</p><br> <p>- Judgment over recipes: you frame a data problem and its constraints before choosing an approach, and you can say when an approximate answer is the right engineering call and when it is not.<br>- Distributed &amp; complex systems: knowledge of, and a taste for, distributed and complex systems is very welcome. Tell us about the ones you have built or operated — what made them hard.<br>- AI Development Lifecycle: genuine proficiency editing and validating AI-produced code, and decomposing ambiguous goals into specifications an agent can execute unattended.<br>- Uncompromising Quality: a maniacal focus on data correctness, freshness, and reliability. A wrong number that ships is a wrong number the business trusts.<br>- Written &amp; Asynchronous: exceptional written communication; effective in a distributed, async environment (Paris timezone +/- 3h).<br>- Ownership: you own your pipeline and its documentation completely, and you surface problems before they are asked about.</p><br> <br><br> </div>

<p>We are building a highly resilient advertising platform with a very lean, senior internal team, and we intend to keep it that way. To achieve scale without the overhead of a large engineering department, we rely on an AI-first development paradigm and a philosophy borrowed from the best large-scale open-source projects. Our code is not public, but our governance is theirs: asynchronous communication, exhaustive written documentation, explicit rules, and uncompromising quality gates. It is the only way a small team of humans and AI agents ships serious systems without accumulating technical debt. This role owns the data engine underneath the platform: the streams, segments and audiences that make advertising intelligent.</p><p><strong>The Role</strong></p><p>You will own the data and DMP layer end to end the event streams flowing in, the segment and audience computation, and the analytical stores that feed targeting and reporting. What we hire for is judgment: the problems here are hard in the interesting way, and the interesting part is the tradeoffs you choose.</p><p>1. Hard problems, at real-time scale.</p><p>Computing audiences and measurement over very large, high-velocity event streams, in near-real-time, where being right is not always the same as being exact and every choice has a real cost. We describe the problems; we expect you to bring the approach.</p><p>2. Stream-First Pipeline.</p><p>Own the ingestion and processing pipeline. It is stream-first by design; you keep it that way rather than falling back to batch.</p><p>3. Segments &amp; Audiences.</p><p>Own how raw signals become targetable audiences how they are computed, stored, refreshed, and exposed to the serving path. This is the intelligence layer of the product.</p><p>4. AI-First Delivery &amp; Governance.</p><p>We expect AI to write most of the code; you are the editor, not the typist. You specify work as explicit, self-sufficient issues, direct agentic tooling to implement, and gatekeep every diff. Schemas, data contracts and Architecture Decision Records are documented. If it is not written down, it does not exist.</p><p><strong>The Tech Environment</strong></p><ul><li>Data: event streaming and stream processing, relational and analytical stores.</li><li>Language: the codebase is a compiled systems language; we care more about how you reason about data than about the language you arrive with.</li><li>Domain: DMP, segments, audiences, identity, measurement.</li><li>Cloud: Google Cloud Platform, Kubernetes.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>We are looking for a data-minded engineer who frames a problem before reaching for a tool, owns correctness, and thrives in a lean, high-quality environment. This role is not suited to someone who wants a narrow, hand-fed scope inside a large team.</p><p><strong>Essential Experience</strong></p><ul><li>5+ years building data or backend systems in production, with genuine ownership of a pipeline's reliability and the correctness of its output.</li><li>Depth on hard data problems you have built things where scale, real time, or accuracy made the design non-obvious, and you can talk through the tradeoffs you chose and why.</li><li>Streaming experience and a real grasp of stream-vs-batch tradeoffs, event modelling, and schema evolution.</li><li>Comfort in a compiled systems language (Rust, Go, C++, Scala or similar). The codebase is Rust; the language is the tool, the data thinking is the skill.</li><li>Working knowledge of an analytical data store and SQL. DMP / ad-data or audience/segmentation experience is a strong plus.</li></ul><p><strong>Core Competencies &amp; Mindset</strong></p><ul><li>Judgment over recipes: you frame a data problem and its constraints before choosing an approach, and you can say when an approximate answer is the right engineering call and when it is not.</li><li>Distributed &amp; complex systems: knowledge of, and a taste for, distributed and complex systems is very welcome. Tell us about the ones you have built or operated what made them hard.</li><li>AI Development Lifecycle: genuine proficiency editing and validating AI-produced code, and decomposing ambiguous goals into specifications an agent can execute unattended.</li><li>Uncompromising Quality: a maniacal focus on data correctness, freshness, and reliability. A wrong number that ships is a wrong number the business trusts.</li><li>Written &amp; Asynchronous: exceptional written communication; effective in a distributed, async environment (Paris timezone +/- 3h).</li><li>Ownership: you own your pipeline and its documentation completely, and you surface problems before they are asked about.</li></ul><p>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p>