Lead Data Platform Engineer

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 order…

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.

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.

Join VeepeeTech as a Site Reliability Engineer (SRE) and become an integral part of a dynamic and cross-functional SRE community while collaborating with a product-focused Data Platform team.In your role, you will enhance the reliability, scalability, and operability of essential data services by leveraging SRE and DevOps methodologies. You will also play a vital role in knowledge sharing across various teams.Our Data Platform is evolving into a cutting-edge lakehouse architecture hosted on VeepeeCloud (our proprietary on-premise platform), utilizing advanced technologies such as Trino, Iceberg, and object storage, with ambitious goals related to performance, cost efficiency, and platform stewardship.You will work in a distributed environment across France and Spain, alongside a talented team of 40-50 data professionals specializing in engineering, analytics, data science, and governance.As a key contributor, you will ensure the reliability and scalability of our next-generation data platform while supporting the transition from public cloud to hybrid and on-premise architectures.

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.

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.

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.

Are you seeking a pioneering collective that engages in permanent Test & Learn mode and truly empowers your ambitions? Look no further! At SFEIR, your career path is yours to steer—whether vertical, horizontal, or transverse. Your PlaygroundTechnology Stack: Google Cloud Platform (including BigQuery, Cloud Storage, Dataflow, Cloud Composer), Python, SQL, DBT.SFEIR AI: A specialized path to mastering generative AI and agent-based coding.Community: Join a network of 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your ResponsibilitiesDesign robust, secure, and scalable end-to-end data architectures (Lakehouse, Mesh) on Google Cloud.Lead the implementation of complex ETL/ELT solutions using DBT on BigQuery and orchestrate workflows via Cloud Composer.Establish development best practices (CI/CD, testing, Data Quality) and ensure monitoring/observability of platforms.Mentor junior team members, conduct code reviews, and serve as a technical reference for clients.Actively participate in modernizing our clients' tech stacks and integrating GenAI services (Vertex AI) into production pipelines. Your ProfileYou have at least 5 years of experience as a Data Engineer.You possess confirmed professional experience with Google Cloud.You can critically assess architecture choices and justify your technological decisions in the face of complex business challenges.You have a mentoring spirit, enjoy sharing knowledge, and are eager to tackle high-level challenges in a rapidly growing environment. Why Join SFEIR?Every Sfeirian is supported by an Engineering Manager.Opportunities for advancement toward roles such as Data Architect, Senior Staff Engineer, or Senior Principal Engineer.Continuous training with access to Google Cloud Skills Boost and certification opportunities.

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.

nexton is looking for a Lead Data Engineer / Machine Learning Specialist to join its Paris team. This role centers on developing and refining data solutions that help achieve business objectives and improve daily operations. Key responsibilities Design and construct data pipelines for analytics and machine learning projects Enhance data flows to ensure reliability and efficiency Collaborate with teams throughout the company to align data efforts with strategic goals Use machine learning techniques to uncover insights and inform business decisions What to expect at nexton Projects at nexton rely on the intersection of data and technology to create measurable business results. The team values teamwork and practical approaches that deliver real impact.

Theodo Group: A Journey of Innovation and SuccessSince 2009, Theodo has been dedicated to supporting innovative companies in the design, development, and deployment of ingenious digital products, leveraging the best of technology and Lean methodologies.With over 15 years of exceptional growth, Theodo has expanded to a team of more than 700 passionate software engineers committed to continuous improvement. As we scale, we have structured ourselves into specialized units focused on various technologies (Theodo Apps, Theodo Cloud, Theodo Data & AI) and industries (Fintech, Govtech, Healthtech, Consumer Products Goods). By 2025, Theodo aims to achieve a revenue of €100 million.Established in 2016, Theodo Data & AI serves as the data and AI division of Theodo. Our goal is to partner with clients in shaping and deploying their data strategies, as well as researching and developing state-of-the-art AI solutions.The company is experiencing rapid growth, with Theodo Data & AI recording an annual revenue increase of over 30%, creating exciting new opportunities for our team!Why We Are Hiring a Lead Data Software Engineer?To contribute to the growth of Theodo Data & AI and to strengthen our Data Software Engineering teams, we are seeking an experienced professional.

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.

Are you seeking a pioneering collective that embraces a continuous Test & Learn mindset and truly empowers your ambitions? Look no further! At SFEIR, your career path is not predetermined; you are in charge of directing your own journey—whether it's vertical, horizontal, or transverse. Your PlaygroundTech Stack: Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer), Python, SQL, DBTSFEIR AI: A dedicated pathway to mastering generative AI and agent-based coding.Community: 140 Google Cloud certified professionals, 30 Google Authorized Trainers, 7 Google Developer Experts. Your MissionsDesign and develop robust, scalable data pipelines on GCP.Implement ETL/ELT solutions using DBT on BigQuery.Orchestrate data workflows with Cloud Composer.Establish monitoring and observability for data platforms.Contribute to the modernization of our clients' data architectures. Your ProfileYou have at least 3 years of experience as a Data Engineer.You possess confirmed professional experience with Google Cloud.You are passionate about Data and AI: you stay updated and work on personal projects.You are eager to tackle high-stakes challenges while thriving in a stimulating environment. Why Join SFEIR?Each Sfeirian is supported by an Engineering Manager.Opportunities for advancement into Lead Data or Data Architect roles.Continuous training with access to Google Cloud Skills Boost and certifications.Engagement in Google Cloud events with an active community hosting over 50 annual events. Your Sfeirian PackageChoice of equipment: MacBook Pro or Dell Precision.Vacation Bonus: 10% of the...

We are seeking a talented and innovative Lead Data Architect to join our dynamic team at RTE1 in Paris. In this pivotal role, you will spearhead the development and implementation of advanced data architecture solutions, ensuring the integrity, quality, and security of our data systems.Your expertise will guide our data strategy, supporting critical business decisions and ensuring our data infrastructure is scalable and robust. If you are passionate about data architecture and eager to lead a talented team, we want to hear from you!

Making preventive health the default for every human in EuropeThe missionAt Lucis, we are dedicated to transforming healthcare from a reactive model to a preventive one. Our goal is to develop an operating system for human longevity, empowering individuals to extend their healthy years. Discover more about our vision and values here.The roleOur team has successfully processed over 200,000 clinical tests across four countries and is experiencing a growth rate of 10% week over week. We are still in the early stages of our journey.We seek engineers who focus on building comprehensive systems rather than just features. You will take ownership of outcomes from start to finish, leveraging AI to enhance processes and elevate the standards around you.Your work will not be limited to writing boilerplate code; you will create specifications for agents, critically review AI-generated code, and make impactful decisions that build upon themselves over time. This is the modern landscape of engineering—if this resonates with you, we invite you to continue reading.Together, we will define the scope of your role—whether it be mobile, infrastructure, platform, AI, or full-stack—based on your strengths and our needs.What you could own:Full-stack vertical ownership: Manage everything from data models to APIs and user interfaces, ensuring they are production-ready.Algorithms: Collaborate with our medical advisors to convert clinical science into reproducible, auditable code.System architecture: Design a scalable, HDS-compliant infrastructure on AWS (using CDK/Terraform) capable of handling ten times the current load without requiring rework. Ensure strict adherence to HDS and GDPR regulations with robust security practices.Engineering culture: Facilitate team rituals, maintain high standards, and mentor through code reviews and specification assessments.Lead engineering rituals and foster continuous improvement through Agile methodologies and cross-team collaboration, ensuring the team remains at the forefront of excellence.About youYou are passionate...

At Joko, we empower consumers to shop smarter. Our mission is to transform the shopping experience, enabling individuals to discover exactly what they need, make informed choices, and save money.Established in Paris, Joko is a certified B Corp tech company with a diverse team of over 90 talented individuals across Paris, Barcelona, New York, and beyond. More than 5 million users benefit from our services daily at over 10,000 merchants.From cashback and automatic coupons to price alerts and carbon tracking, we continuously enhance our offerings to make shopping more intelligent. Currently, we are developing an AI-driven shopping assistant to help users identify the best products based on price, quality, and sustainability.With profitability achieved in our core market, we are now focused on scaling our operations globally, particularly in the United States.Join us on this exciting journey and help shape the future of shopping! Our Engineering TeamOur Engineering team thrives on tackling advanced technical challenges with innovative solutions. Committed to product innovation and design, they are defining the future of the shopping experience. Their goal is to positively influence the daily lives of millions of users around the globe.Software Engineers collaborate closely with the Product team, engaging in exploration, design, roadmap prioritization, implementation, and production deployment. We’ve seen that teams with engineers who have diverse skills and foster close collaboration with product teams can deliver exceptional and innovative user experiences.As our Engineering team expands rapidly, we are dedicated to innovating across all areas of our product and tech stack, empowering a revolution in online shopping. Your ResponsibilitiesAs we scale to over half a million active daily users with zero-downtime expectations, you, as our Senior Staff Platform Engineer, will spearhead and shape our platform initiatives. You will be our pioneering senior engineer in this domain, consolidating current efforts across the team into a structured, reliable, and high-impact platform that accelerates safe shipping.Infrastructure: Enhance our production infrastructure to ensure it is scalable and resilient, focusing on runtime reliability, capacity, and failure management, allowing us to grow swiftly while maintaining stability.Monitoring & Alerting: Develop top-tier observability systems to ensure proactive monitoring and alerting, significantly enhancing our operational capabilities.

Nūmi is an innovative bioproduction platform utilizing human mammary cells to create essential ingredients with scientifically validated health benefits throughout all stages of life. Specifically, we are the pioneering European cultivated breast milk company, focused on generating human milk components that closely align with optimal nutrition for infants! As a dynamic early-stage startup, we are on a mission to transform how we nourish the next generation. If you're looking to be part of a rapidly growing, venture capital-backed biotech startup, Nūmi could be your next great opportunity!Situated in the heart of Paris (Hôpital Cochin, Paris 14), Nūmi is supported by esteemed international investors, leading scientists, and prominent academic institutions.Our Culture & Values Positivity: We foster a positive environment at Nūmi, where our mission encourages passionate and energetic communication, always keeping our larger impact in focus. We celebrate small victories but remain committed to our ultimate goals.Excellence: At Nūmi, we define excellence through dedication and a continuous improvement mindset. We view challenges as opportunities to learn and strive for high-quality outcomes. Our growth is driven by effort, attention to detail, and integrity, both as individuals and as a team.Teamwork and Pedagogy: We believe that collaboration strengthens us at Nūmi. We promote knowledge sharing, constructive feedback, and mutual respect, ensuring that every team member contributes to our collective success.Ambition: We set bold goals and encourage expansive thinking at Nūmi. Driven by innovative ideas and determination, we aim high to create meaningful change.Why This Role MattersIn our work at Nūmi, the capacity to identify “golden” cell lines, batches, and conditions relies heavily on our ability to effectively collect, organize, and leverage our data, rather than merely increasing the volume of experiments.Currently, our experimental data encompasses:Electronic Lab Notebook (ELN) entriesSpreadsheetsBioreactor and equipment outputsAnalytical and Quality Control (QC) readoutsThis position is essential for transforming our fragmented data landscape into a cohesive, reliable, and actionable data layer that empowers R&D, informs scale-up decisions, and supports regulatory and industrialization initiatives.As a Lead Data Scientist, you will be a pivotal contributor to advancing scientific progress at Nūmi.Your ResponsibilitiesEstablish Nūmi’s Scientific Data InfrastructureOversee the development of scalable data models and ontologies that accurately reflect experimental workflows, metadata standards, and the scientific landscape.Facilitate the harmonization and integration of data across ELNs, spreadsheets, instruments, assays, and analytical systems into a centralized, user-friendly platform.

Join Altersolutions as a Data Test Lead, where you will spearhead our testing initiatives, ensuring the integrity and performance of our data systems. You will collaborate with cross-functional teams to develop testing strategies, execute test plans, and deliver high-quality data solutions. Your expertise will be instrumental in driving improvements and enhancing data reliability across projects.

The RoleJoin amo as a Lead Data Analyst, where you will take charge of analytics across our growth and product domains. Collaborate closely with teams in growth marketing, product development, engineering, and leadership to define success metrics, harmonize data across various platforms, and transform complex data inputs into clear, reliable insights.This position is both tactical and strategic: you will engage in hands-on analysis while establishing the standards for data definitions.Your ResponsibilitiesLead comprehensive analytics for growth strategies encompassing acquisition, activation, retention, and experimentation.Work intimately with growth marketing teams at scale to evaluate channel performance, attribution, funnels, and cohort behavior.Validate and reconcile data from multiple sources (e.g., marketing platforms, analytics tools, internal databases) to create a dependable source of truth.Design, construct, and sustain dashboards and reporting tools that inform both daily operations and long-term strategies.Establish and standardize essential metrics, naming conventions, and data definitions for cross-team consistency.Conduct advanced analyses including funnel analysis, cohort analysis, experimental assessments, and trend investigation.Translate complex inquiries into structured analyses and articulate insights effectively to both technical and non-technical stakeholders.Mentor and coach fellow analysts as the team expands, enhancing analytical rigor, clarity, and impact.Qualifications5+ years of experience in data analytics, business intelligence, or a related field.Proven experience collaborating with growth marketing teams at scale (paid, organic, lifecycle, or multi-channel growth).Strong proficiency in SQL and comfort working with large, imperfect datasets.Demonstrated ability to reconcile data across various tools and platforms, identifying inconsistencies, gaps, and quality issues.Familiarity with BI and analytics tools (e.g., Looker, Tableau, Mode, Amplitude, GA, or similar).Proven ability to independently define project scopes, prioritize tasks, and drive analyses from inquiry to insight.Excellent written and verbal communication skills, particularly in conveying complex data insights.

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.