Cloud Engineer - Google Cloud Platform (GCP)

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.

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...

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.

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.

Are you looking for a pioneering collective that fosters a permanent Test & Learn environment, empowering you to realize your ambitions? Look no further! At SFEIR, your career trajectory is in your hands—whether it’s vertical, horizontal, or transverse. Your PlaygroundTechnology Stack: Design of Landing Zones, advanced security, IAM governance, GKE and Serverless strategies, Terraform, FinOps, and observability.SFEIR AI: A dedicated path to mastering generative AI and agentic coding.Community: 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your ResponsibilitiesDesign complex cloud-native architectures on GCP.Define migration and modernization strategies.Establish architecture standards and best practices.Advise clients on their cloud strategies.Lead large-scale cloud transformations.Ensure technical governance of projects.Optimize architectures for scalability and resilience. Your ProfileAt least 7 years of experience, including 3 years in cloud architecture.Deep expertise in Google Cloud.Proficiency in cloud-native architecture patterns. Why Join SFEIR?Every Sfeirian is supported by an Engineering Manager.Opportunities for growth into Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager roles.Continuous training with access to Google Cloud Skills Boost and certifications.Participation in Google Cloud events, KubeCon, and Cloud Native Days.An active community with over 50 annual events.

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.

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.

ABOUT USAt MARGO, our consultants tackle meaningful challenges through complex projects that blend intellectual rigor with real business impact.We support leading players in finance, industry, and technology on their most strategic initiatives in Data Science, Machine Learning, and Artificial Intelligence.WHY JOIN THE CLOUD TRANSFORMATION PRACTICE?You will work within a team guided by a dedicated Practice Manager at MARGO, who is also deployed at one of our client sites.Collaborating with them means joining a passionate team of experts, facing technical and methodological challenges, and contributing to high-impact projects for our clients.YOUR RESPONSIBILITIESWe are currently seeking a Data Engineer to work with one of our clients in the energy sector within a cross-functional data team. This role encompasses various use cases arising from different departments (trading, data, HR, etc.).Your primary task will be to provide the foundational IT and Data components that serve all teams.In practical terms, our team is looking for Data Engineers and Data profiles capable of contributing to these impactful cross-functional projects.Main Responsibilities:- Support other teams in their data/AI projects- Engage in cross-functional interventions to accelerate and industrialize use cases- Deploy and launch data/AI projects into production- Work with modern technologies and enhance skills in AWS cloud- Make a direct impact on concrete topics such as energy transition, energy mix, and ecology—subjects that matter- Work alongside high-caliber colleagues (high seniority level)- Focus on continuous optimization- Handle large volumes and diverse data sets- Participate in a significant DATA transformationWHAT WE ARE LOOKING FORWe are looking for demanding engineers and data engineers who are passionate about technology and eager to thrive in complex environments.- Graduated from an engineering school or a Master's degree (Bac +5);- Proficient in Python, PySpark, Scala, AWS, Databricks, and SQL- Good command of English to operate in an international environment.WHAT WE OFFER- Ambitious and varied projects, always selected for their added value;- Close support from recognized experts;- ...

Join fifty-five, a pioneering data company that empowers brands to leverage data for enhancing marketing, media, and customer experiences through a unique blend of consulting and specialized technology services.As a vital component of the Brandtech Group's data and marketing division, we provide a comprehensive suite of services that integrates strategy consulting, cloud services, media advisory, and customer experience optimization.With a team of over 320 digital experts, including consultants, media specialists, engineers, and data scientists, we collaborate closely to deliver top-tier marketing insights and technical support to brands across various industries worldwide.We partner with advertisers from data collection to activation, assisting organizations in evolving into true omnichannel entities that master the efficiency of their digital ecosystem and its connections to the physical world.Headquartered in Paris, we operate across three time zones from our ten offices in cities like London, Geneva, Milan, Shanghai, Hong Kong, Shenzhen, Taipei, Singapore, and New York. At fifty-five, we prioritize employee well-being, which earned us a spot in the Best Workplaces France ranking in 2018.Context:The engineering team defines, develops, and implements technical solutions for creating data platforms and building data pipelines for our clients. This includes sourcing data from multiple origins (APIs, files, webhooks, etc.), data cleaning, processing, automation, and monitoring. We utilize cutting-edge technologies (Docker, Kubernetes, Terraform, notebooks, etc.) and deploy projects on various cloud platforms (GCP, Azure, AWS).The team collaborates closely with the Data Science unit to develop advanced use cases for clients, involving various LLMs available in the market.Mission:We are seeking a skilled individual to execute technical projects that meet our clients' needs, such as implementing Customer Data Platforms, deploying use cases involving Generative AI, and defining and implementing enterprise-scale data governance. Responsibilities include technical sizing and estimation, architectural implementation, functional specification reviews, and code review/production.Additionally, this person will play a project and team management role, which involves coordinating internal and external resources, monitoring progress and quality of deliverables, and mentoring and developing team members.

Who are we? SFEIR is a vibrant community of 900 tech experts located across France, Belgium, and Luxembourg.We assist our clients in:Developing web and mobile applications to enhance user experience.Evolving their IT architectures, Cloud and Data solutions to align with tomorrow's technologies.Leveraging data and innovating with AI.Creating value through APIs and microservices.Our Company CultureWe are passionate about technological expertise, knowledge sharing, and upholding essential values: kindness, inclusivity, excellence, freedom, and responsibility.SFEIR Paris by the Numbers400 experts, including 100 specialized in Data70 active clients in Île-de-France and 120 across the group41 Engineering Managers for personalized support370 certifications achieved in 2024Monthly events (afterworks, meetups, training sessions)An active community with around fifty conferences in 2024 (Devoxx, DevFest, ...)Your Mission Your role is to understand the context and implement a platform to enhance data utilization. You should be proficient in Python and SQL / DBT.For instance, Vincent is building the data platform for a historic delivery and tracking company. This platform aims to assist in operational management and must be flexible enough to accommodate the needs expressed by business teams.Technical Stack: BigQuery, Cloud Composer, Python, DBTOpportunities for Growth You will benefit from numerous opportunities for advancement, both vertical and horizontal:Become an evaluator in the recruitment process.Provide training through SFEIR Schools or SFEIR Institute.Speak at conferences, meetups, or engage with schools.Become an Engineering Manager while remaining technical.Additional opportunities based on your interests, discussed on a case-by-case basis.Compensation At SFEIR, there is no fixed salary grid! Each salary is discussed individually, based on your profile and aspirations. Join us and fully express your Java expertise in a stimulating and supportive environment!

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.

Are you looking for an innovative team that continuously embraces a Test & Learn approach, empowering you to achieve your ambitions? Look no further! At SFEIR, your career path is in your hands, whether you aim for vertical, horizontal, or cross-functional growth. Your PlaygroundTechnology Stack: Modern Data Stack (Data Mesh, Data Lakehouse), BigQuery, Cloud Composer, Dataflow, Pub/Sub, Data Governance (Dataplex, Data Catalog), Terraform, Cloud Build, and Vertex AI.SFEIR AI: A dedicated journey to master generative AI and coding agents.Community: 140 certified Google Cloud professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your ResponsibilitiesDesign innovative data architectures on GCP.Define architectural patterns and best practices.Lead the implementation of data mesh and data fabric solutions.Support the modernization of legacy data platforms.Advise clients on their data strategy and ensure technical coherence in proposed solutions.Guarantee the scalability and performance of architectures. Your ProfileYou have at least 6 years of experience, including 3 years in Data Architecture.You possess confirmed professional experience with Google Cloud.Mastery of cloud-native architectural patterns.Ability to communicate effectively with both technical and business teams. Why Join SFEIR?Each SFEIR member is supported by an Engineering Manager.Opportunities for advancement into Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager roles.Continuous training with access to Google Cloud Skills Boost and certifications.Participation in Google Cloud events.An active community with over 50 annual events.

About LedgerAt Ledger, we are a passionate team of innovators dedicated to redefining digital ownership and freedom. Our mission is to empower users, creators, and enterprises to manage their value independently and securely. We thrive on curiosity and are committed to making technology inclusive for everyone. As a global leader in digital asset security, with over 20% of the world's crypto assets safeguarded through Ledger devices, we have established a strong presence not only in Paris, where our headquarters is located, but also across multiple international offices. Our diverse team of around 600 professionals develops cutting-edge products and services that allow individuals and businesses to seamlessly buy, store, swap, and manage their crypto assets, including our acclaimed hardware wallets, which have reached over 7.5 million units sold in 200 countries.We are currently on the lookout for a seasoned Director of Platform Engineering to lead our Platform Engineering team within the Infrastructure & Operations department. Reporting directly to the VP of Infrastructure & Operations, this pivotal role involves overseeing the development and maintenance of our cloud infrastructure, as well as enhancing developer platforms and tools. The ideal candidate will possess a robust technical foundation, outstanding leadership capabilities, and a genuine enthusiasm for creating resilient, scalable platform services while ensuring the reliability of production infrastructure.Key Responsibilities:Formulate and implement the platform engineering strategy in alignment with business objectives and Infrastructure & Operations goals.Lead and inspire the Platform Engineering team to achieve high performance.Establish and enforce best practices, standards, and architectural guidelines for platform services and production cloud infrastructure.Collaborate with engineering leadership and Infrastructure & Operations teams to define the requirements for platform and production systems.Serve as the ultimate escalation point for complex platform engineering challenges that exceed Level 2 operations support.

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 as a Salesforce Data Cloud Consultant, where you'll manage the entire Data Cloud project lifecycle, from pre-sales to deployment, within a rapidly evolving technical environment incorporating AI and Agentforce.Main ResponsibilitiesLead end-to-end implementation of Salesforce Data Cloud projects, including data model design (DMO), multi-source ingestion, profile unification, matching rules, and identity reconciliation.Design connectors and activation flows to Marketing Cloud, focusing on customer journeys, data-driven segmentation, and omnichannel orchestration.Integrate Data Cloud with third-party systems (data lakes, existing information systems) and assess integration architectures (MuleSoft, REST/SOAP APIs).Support clients in their 360 data strategy through scoping workshops, architecture recommendations, roadmaps, and build vs. buy advisory.Participate in pre-sales activities: needs qualification, scope definition, estimations, and presentations.Contribute to team skill development and the capitalization of best practices in Data and Marketing Cloud.Explore and implement AI/Agentforce use cases: scoring, next-best-action, automated summaries, and augmented search on structured and unstructured documents.Assist in the industrialization of deployments through best practices in CI/CD for Salesforce, release strategy, and environment management.

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.

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.