Site Reliability Engineer - Data Platform

About UsSafran.AI, formerly known as Preligens, is a subsidiary of Safran Electronics & Defense, specializing in artificial intelligence solutions for analyzing high-resolution satellite imagery, full-motion video streams, and acoustic signals. Our innovative solutions cater to the aerospace, defense, and governmental applications.Since 2016, we have been developing complex algorithms and software that enable the automatic analysis, detection, and identification of military-relevant objects from both commercial and governmental data sources.Following our integration into Safran in September 2024, Safran.AI also plays a pivotal role in transforming the group by applying AI solutions to Industry 4.0 domains. For instance, our automated image analysis capabilities assist inspectors in identifying potential anomalies in critical components using digital images.At Safran.AI, innovation and the quest for a safer world are at the core of our mission. By joining us, you'll collaborate with multidisciplinary teams of passionate engineers, researchers, and developers who share a common drive for technological excellence. We foster a stimulating work environment that encourages creativity and initiative, where every idea is valued. Your Mission, Should You Choose to Accept ItThe AI Engineering team is responsible for developing and operating an internal AI production platform, essentially our very own AI Factory, utilized by Data Scientists to design, train, and deploy models at scale.The platform, originally focused on satellite image processing, is now entering a new phase characterized by:→ Diversification of data types (video, acoustic, factory imaging)→ Significant growth in the number of production models→ Increased requirements for robustness, security, and operability→ Expansion of use cases in air-gapped environments and across multiple sitesIn this context, we are evolving our approach towards a comprehensive Data Platform & ML Platform capable of supporting these diverse uses, hybrid environments, and stringent industrialization constraints.The team comprises about twenty engineers with hybrid AI, Software, and Data profiles, organized into three squads: MLOps platform, Data platform, and Enabling & DevX.

Role overview Alten is seeking a Data Engineer with strong experience in Google Cloud Platform (GCP) to join the Paris office. The position centers on shaping and optimizing data architecture and engineering solutions. Teamwork with professionals from various backgrounds is a key part of daily work. What you will do Design, build, and enhance data pipelines using Google Cloud Platform tools Collaborate with cross-functional teams to deliver dependable data solutions Support the availability of high-quality data for analysis and business needs Project environment Assignments use current technologies and encourage fresh thinking and practical solutions. The team emphasizes both innovation and effective problem-solving in its approach.

About UsAt Ankorstore, we're dedicated to empowering independent brands and retailers by streamlining the wholesale process, making it easier, quicker, and more profitable for all involved.Our aim is to create a robust infrastructure that supports contemporary wholesale practices for brands—from enhancing visibility among suitable retailers to managing orders, logistics, and financing—enabling both parties to collaborate on more sustainable terms.The role of Lead Data Platform Engineer is essential to our mission, overseeing the architecture, reliability, and strategic evolution of our data infrastructure.You will spearhead a diverse team of Data Engineers and Analytics Engineers to develop a state-of-the-art Modern Data Stack. Your objective is to connect raw infrastructure with business intelligence, ensuring efficient data ingestion and transformation using BigQuery, Airflow, and dbt, while also facilitating actionable insights through advanced visualizations in Sigma Computing and product analytics in Amplitude.

Join our innovative team at Vusion Group SA as a Data Platform Engineer. You will play a pivotal role in designing, developing, and maintaining our data platforms, ensuring high performance and scalability. Collaborate with cross-functional teams to deliver state-of-the-art data solutions that drive business insights and optimize decision-making processes.

Location: Paris or London (Hybrid, 3 days per week in office)Department: Product ManagementReports to: Head of Product H Company develops agentic AI systems designed to automate complex, multi-step tasks that usually require human oversight. The team brings together AI specialists from around the world, focusing on safe and responsible progress in agentic technologies. Openness, collaboration, and continuous learning shape the workplace, with every team member encouraged to share ideas. Role overview This Product Manager role centers on shaping and executing the product strategy for H Company's AI Platform. The position bridges advanced AI technology with practical user needs, managing the product lifecycle from early concept to launch. Collaboration is key: work closely with engineering, design, research, and go-to-market teams to deliver AI-driven solutions that meet user expectations. Key responsibilities Set the vision and strategic roadmap for enterprise AI tools that help customers build, assess, and manage AI systems at scale. Work with research and engineering teams to turn AI capabilities into usable product features. Drive growth metrics, including user acquisition, activation, and monetization. Champion user needs using both data and qualitative feedback. Adapt to uncertainty and rapid changes in technology. What you will achieve Define the future: Shape product vision and strategy for the AI platform, identify new market opportunities, and translate complex AI or ML features into clear product requirements through research and analysis. Build and ship: Lead the product lifecycle from idea to launch, write clear product specifications and user stories, and partner with engineering and design to deliver high-quality features.

About the Role Nexton is hiring a Data Engineer Manager to guide its data engineering team in Paris. This position centers on leading projects, supporting team growth, and working closely with other departments to strengthen data architecture and processing. Main Responsibilities Oversee data engineering projects from planning through delivery Mentor and develop team members Collaborate with cross-functional teams to improve data systems Drive the creation and optimization of data pipelines Ensure data assets remain accurate, available, and secure Location This role is based in Paris.

Join fifty-five, an innovative data company that empowers brands to leverage data for enhanced marketing, media, and customer experience through a unique blend of consulting and specialized technology services.As a vital part of the Brandtech Group’s data and marketing team, we provide services that merge strategic consulting, cloud solutions, media consulting, and customer experience enhancement.At fifty-five, over 400 digital experts—including consultants, tracking specialists, media professionals, engineers, and data scientists—collaborate closely to deliver high-level marketing insights and technical support to brands across various industries worldwide.We partner with advertisers from data collection through to activation and utilization, helping organizations evolve into true omnichannel entities that effectively manage their digital ecosystems and its synergies with the physical world.Headquartered in Paris, we operate across three time zones from our 10 offices located in Paris, London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York. fifty-five places a high value on employee well-being, which earned us a spot in the Best Workplaces France ranking in 2018.Context:The engineering team develops and implements technical solutions for data pipelines and data platforms for our clients. This includes data retrieval from multiple sources (APIs, files, etc.), data cleaning, data processing, automation, and comprehensive monitoring. The team utilizes cutting-edge technologies (Docker, Terraform, notebooks, GenAI agents, etc.) and deploys projects on various cloud platforms (GCP, Azure, AWS...).The primary goal of this role is to reinforce the data infrastructure through optimal utilization of Snowflake. The main focus will be on establishing a solid technical foundation: implementing governance, structuring accounts, and applying Snowflake best practices. A secondary focus is on designing and implementing Data Clean Rooms on Snowflake, which are essential for secure and confidential data sharing with partners. This expertise is crucial for our data-driven innovation and collaboration strategy.

Your Impact The Data Product Manager serves as the primary liaison for internal stakeholders, helping them articulate their needs and collaborating with Analytics Engineering and Data Science teams to design, develop, and sustain a variety of data products. These include raw data, aggregated datasets, dashboards, and data exports that effectively solve user challenges. We are on the lookout for a Senior Product Manager specializing in Data and AI Platform to bolster our team. Our platform group is dedicated to creating tools and services that empower product teams, data scientists, and data engineers to innovate AI products. This encompasses solutions for data ingestion and export, product development, data access and exploration, as well as training, evaluating, and serving AI models. As a Platform Product Manager, your mission will be to define and prioritize strategic initiatives, ensuring the data and AI platform maximizes value for Doctolib and its users while maintaining scalability. This is an exhilarating time to join us as we implement transformative changes aimed at creating a more unified, open, scalable, and efficient platform to realize Doctolib's aspirations in AI. As a Platform PM, one of your core responsibilities will involve shaping the vision, strategizing to achieve that vision, tracking platform performance with appropriate metrics, and collaborating with the engineering team to prioritize and execute initiatives. Your responsibilities will include but are not limited to: Developing the data platform vision and roadmap by applying a product-focused approach to enhance the impact and scalability of each component and service. Working with data governance to establish robust data governance policies for effective data management. Defining and prioritizing solutions by leading the OKR definition for your team and collaborating with platform engineers to create a roadmap that aligns with the product vision. Engaging in short and mid-term prioritization, consulting with users and platform engineers, and securing the right resources to enhance platform elements. Facilitating communication with users and cross-functional teams to ensure alignment on the platform vision, strategy, and roadmap. Identifying user challenges and ensuring that products deliver the anticipated impact by maintaining continuous engagement with users and assessing the data and AI platform. Leading discovery sessions, scoping, and explorations while closely collaborating with stakeholders and data teams to guarantee that initiatives meet expected outcomes. Promoting the adoption of the data platform in conjunction with data teams and end-users.

Join Vusion Group SA as a Data Platform Owner and take charge of our innovative data initiatives in the vibrant city of Paris. In this pivotal role, you will lead the development and enhancement of our data platforms, ensuring they are robust, scalable, and optimized for performance. You'll collaborate closely with cross-functional teams to define data strategies, drive data governance, and implement best practices across the organization.As a key member of our R&D department, your expertise will be instrumental in shaping our data landscape and enabling data-driven decision-making. We are looking for a passionate individual who thrives in a dynamic environment and is committed to leveraging data as a strategic asset.

Position Overview:As part of our esteemed client who is a global leader in the beauty and cosmetics industry, you will play a pivotal role in the transformation of a worldwide project. Your primary responsibility will be to develop the Data Platform along with a suite of Data services that will be utilized by various teams within the organization. You will also contribute to the development of significant data use cases.Your key responsibilities will include:Designing the architecture and implementing the solution.Defining and developing Data Models.Ensuring code quality and best practices.Acting as a DevOps engineer (implementing CI/CD pipelines and providing Level 3 support for developments).Technical Environment:Google Cloud Platform (BigQuery, Cloud Run, Cloud Build).SQL.Python.DevOps tools (GitHub).API Development.Terraform.Agile Methodology.

Join Alten as a Data Engineer specializing in Google Cloud Platform (GCP). In this role, you will be at the forefront of data architecture and analytics, utilizing cutting-edge tools and technologies to streamline data processes and enhance decision-making.As part of our dynamic team, you will collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines that support our business objectives. Your expertise will play a crucial role in transforming raw data into actionable insights.

Role overview Alten is looking for a Senior Data Engineer to join the team in Paris. This role focuses on designing and building data solutions that support business intelligence and analytics efforts. What you will do Design and implement data architectures and pipelines Support business intelligence and analytics projects with reliable data solutions Work to optimize data systems for performance and integrity Location This position is based in Paris.

About Our Missions:At Avisia, we engage with our clients on 100% data-focused projects that integrate both technical and strategic dimensions, where data drives operational performance. As a Data Engineer, you will be the architect who makes data actionable. Depending on your profile, you will contribute to building robust data platforms (Data Lakehouse) or the industrialization of complex flows intended for AI.Our clients, spanning luxury, retail, telecommunications, and banking sectors, are facing an explosion in the volume and variety of data. Your role will be to ensure the fluidity, quality, and security of these data flows.Current Projects Include:Migrating on-premise legacy systems to a Cloud Lakehouse architecture (Snowflake/Databricks). #CloudMigrationIndustrializing complex pipelines on GCP (BigQuery, Dataform) with a strong observability culture (Dynatrace) and CI/CD practices. #OrchestrationDeploying applications, APIs, and AI services (ML prediction algorithms, chatbots, etc.) #MLOpsAuditing and redesigning ingestion pipelines to reduce computing and storage costs on GCP or AWS. #PerformanceDeveloping Kafka components, exposing them via APIs, and ensuring the performance of real-time flows on an international scale. #Streaming

Join our dynamic team at amo as a Location Platform Engineer, where you will play a crucial role in developing and enhancing the infrastructure that efficiently retrieves and processes background location data across diverse devices and operating systems. This position provides an exciting opportunity to work on scalable production systems while ensuring battery efficiency, adhering to privacy standards, and maintaining OS compatibility.We are looking to bring on board several engineers with varying levels of experience. Kindly specify your years of experience in the application form.If you are a seasoned engineer: You will take the helm of the location platform, evolving our technological stack to meet new challenges, mentoring junior team members, and spearheading enhancements in accuracy, efficiency, and compliance.If you are a junior engineer: You will contribute under mentorship, gaining invaluable hands-on experience with production systems, learning cross-platform infrastructure, and developing core skills in backend and client-side development.Your daily responsibilities will encompass:Develop and sustain backend services using Rust alongside client-side codebases in Rust, Kotlin, and Swift.Contribute to systems that manage high traffic and substantial volumes of location data.Enhance scalability, reliability, and performance, both independently and under guidance based on your experience level.Cross-Platform ConsistencyBolster infrastructure that supports both iPhone and Android devices, accommodating various OS versions and OEM variants.Collaborate with iOS and Android engineers to ensure a cohesive and seamless user experience.Feature DevelopmentImplement and optimize the collection of location data through Wi-Fi, network signals, GPS, and Bluetooth technologies.Adapt to evolving OS updates and privacy regulations, balancing precision with battery efficiency.Assist in the development of internal tools, including analytics dashboards, debugging utilities, and user-specific analysis tools.Operational ExcellenceMonitor system metrics, troubleshoot bugs, and proactively resolve performance issues.Ensure adherence to privacy regulations and OS standards.Cultivate robust engineering practices in testing, observability, and documentation.Commitment to Ongoing LearningEngage in continuous improvement and stay updated with technological advancements.

We are seeking a talented and experienced Senior Platform Engineer specializing in AWS to join our dynamic team at Devoteam. In this role, you will leverage your extensive knowledge of cloud technologies to deliver innovative solutions that help our clients achieve their business objectives.Your responsibilities will include designing, implementing, and managing cloud infrastructure projects, providing expert guidance on AWS services, and collaborating with cross-functional teams to optimize cloud operations.

Nous sommes à la recherche d’un consultant de haut niveau spécialisé en Data Engineering, disposant d’une expertise approfondie dans les technologies AWS (Kinesis, DMS, S3, etc.), Airflow, Terraform, GitLab CI/CD, Python ainsi qu’une solide maîtrise des bases de données telles qu’Exadata, Oracle, SQL Server et Snowflake. Il sera chargé de concevoir et développer des pipelines de réplication et de traitement de données dans un environnement cloud tout en contribuant activement à la fiabilité, l’automatisation et la scalabilité de notre plateforme data. Rejoignez-nous, épanouissez-vousVos missions : Développement de pipelines ETL/ELT avec Airflow, Python, SQLConnexion aux bases sources (Exadata, Oracle, etc.)Intégration des données dans AWS (S3, Kinesis, DMS, Lambda...)Nettoyage, mapping, déduplication et enrichissement des donnéesCollaboration avec les architectes pour appliquer les modèles ciblesDocumentation technique et référentielsConcevoir et mettre en œuvre les flux de réplicationHarmoniser et transformer les donnéesAutomatiser les pipelines de donnéesDévelopper des Pipelines GitLab CI/CDDévelopper d'IaC pour des architectures sophistiquées full AWS avec Terraform, Ansible et Python.Contribuer au FinOps Vous êtes le bon candidat si :Aptitudes : Être dynamique, proactif, autonome, et ouvert d'esprit, bon communicant avec une grande curiosité scientifiqueTrès bonne maîtrise de l’écosystème AWS (S3, Kinesis, DMS, Lambda…)Très bonne maîtrise des bases de données et des Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.)Maîtrise des langages : SQL, PythonMaîtrise des outils de traitement et d’orchestration (Apache Airflow, dbt, Python, SQL)Bonne expérience en Terraform pour l’IaCConnaissance de GitLab CI/CD pour l’automatisation des déploiementsExpérience avec des CRMConnaissance des problématiques de data quality, modélisation, monitoring et alertingExpérience : Justifier d'au moins 6 ans d'expérience en tant que Data Engineer ou Ingénieur Intégration Data dans des environnements similairesUne ou plusieurs certifications (AWS, Snowflake, Terraform, etc.) sont fortement appréciéesLangues : Maîtrise de l'anglais courant Ce que nous avons à vous offrirCAPFI est une entreprise vivante qui place le collectif et le bien-être au cœur de sa culture.

About Homa Games Homa Games creates and publishes mobile games for a global audience. With over 80 titles launched and more than 2 billion downloads, the team has seen games like 'All in Hole' reach the global top-50 grossing charts. The company works with both in-house and partner studios to deliver games that connect with players worldwide. Technology and Approach Homa Lab, the company’s proprietary platform, provides developers with market intelligence, data tools, and AI-powered game technology. This platform helps teams quickly test ideas, find product-market fit, and scale games that engage players for the long term. AI is woven into daily operations and strategic decisions, supporting everything from routine tasks to high-level planning. How Homa Works The operational model centers on a feedback loop: Homa Lab helps studios spot promising concepts, turn them into playable games, and reach millions of players. Each launch produces data and insights that inform future projects and improve efficiency. This cycle aims to refine the process and increase the chances of success with each new game. Team and Culture Homa’s team includes more than 220 people representing over 30 nationalities. Many bring experience from leading studios and companies in the gaming industry. The culture values ambition, curiosity, humility, and focus, and emphasizes speed, excellence, and transparency in delivering results. Growth and Vision Since its founding, Homa Games has raised $165 million from investors such as Headline, Northzone, Eurazeo, and Bpifrance, along with founders from King, Sorare, and Spotify. The company is committed to building gaming experiences for the next billion players and shaping the future of entertainment.

Join our dynamic team at Meritis as a Data Engineer (H/F) in the heart of Paris. We are looking for passionate individuals who are eager to innovate and drive data solutions that empower business decisions.

We are seeking a skilled Data Project Manager to lead and manage data-driven projects in the banking and insurance sector. The ideal candidate will be passionate about data and possess excellent project management skills. You will be responsible for overseeing project timelines, coordinating resources, and ensuring successful project delivery.