Data Engineer - Google Cloud Platform (F/H)

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 …

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 searching for an innovative team that thrives on a constant Test & Learn approach, empowering you to achieve your ambitions? Look no further! At SFEIR, you're in control of your growth journey—whether you choose to advance vertically, horizontally, or across different domains. Your PlaygroundTechnology Stack: Kubernetes (GKE), Compute Engine, Cloud Run, Cloud IAM, Terraform, Cloud BuildSFEIR AI: A dedicated path to mastering generative AI and agent-based coding.Community: 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your Responsibilities- Design and deploy cloud-native infrastructures on GCP.- Implement automation solutions using Terraform and Cloud Build.- Establish Kubernetes architectures with GKE.- Manage multi-cloud environments with Anthos.- Ensure security and compliance of infrastructures.- Optimize cloud resource costs and performance.- Enforce DevOps and SRE best practices. Your Profile- You possess at least 3 years of experience in Cloud Engineering.- You have solid professional experience with Google Cloud.- You are passionate: you stay updated with industry trends and have personal projects. Why Join SFEIR?- Every Sfeirian is supported by an Engineering Manager.- Opportunities for advancement to Lead Cloud Engineer or Cloud Architect roles.- Ongoing 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.

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 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.

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.

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.

Vous aspirez à intégrer une fintech innovante et dynamique, leader dans le domaine du crédit et de l'assurance, en pleine croissance et riche en projets ? Cette opportunité est faite pour vous !Dans un cadre d'évolution organisationnelle, nous cherchons à renforcer notre équipe avec un professionnel spécialisé en Platform Engineering, capable d'interagir avec un large éventail d'outils DevOps et des environnements cloud tels qu'Azure et GCP.Votre rôle sera crucial dans la construction, l'optimisation et la diffusion des meilleures pratiques de Platform Engineering, au service des équipes de développement avec une forte dimension collaborative.Vous aurez également la responsabilité de mettre en place des landing zones pour les équipes projets, d'améliorer continuellement les pratiques DevOps du groupe et d'intégrer nos outils de delivery et d'observabilité tels que GitHub, SonarCloud, et Datadog. Votre expertise jouera un rôle clé dans l'accompagnement des équipes de développement vers l'adoption et l'industrialisation des meilleures pratiques Cloud et DevOps.Votre mission s'articulera autour de deux axes complémentaires :Gouvernance technique : définir et promouvoir les standards d'ingénierie (sécurité, CI/CD, observabilité, qualité), garantir leur adoption à l'échelle du groupe et assurer la cohérence globale des environnements Cloud.Expertise technique (Azure et GCP, Terraform, GitHub Actions, Datadog) pour concevoir et maintenir une plateforme Cloud performante, sécurisée et automatisée.Responsabilités :Concevoir, déployer et maintenir les fondations et automatiser la gestion des environnements Cloud (landing zones, sécurité, réseau) sur Azure et GCP avec Terraform.Concevoir, implanter et entretenir les golden paths de la plateforme d'ingénierie (templates d'application, CI/CD, observabilité, sécurité, qualité) avec GitHub Actions, en intégrant les meilleures pratiques DevSecOps.Définir et mettre en œuvre les standards d'observabilité (tableaux de bord, alertes, traçage, logs centralisés) et être moteur dans la gouvernance des standards techniques de la plateforme tout en proposant des axes d'amélioration continue.Assurer le déploiement et la gestion des outils de CI/CD, de monitoring et de qualité logicielle (GitHub, SonarCloud, Datadog).

Are you seeking to join an innovative team that embraces a continuous Test & Learn approach and truly empowers your ambitions? Look no further! At SFEIR, your career path is yours to navigate—whether it be vertical, horizontal, or cross-functional. Your PlaygroundTechnology Stack: Google Cloud Platform (including VertexAI, VertexAI Search, Cloud Run, Cloud Storage), Python, and ML libraries, along with RAG architecture.SFEIR AI: A dedicated program to master generative AI and agent-based coding.Community: Join a vibrant network of 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your MissionsDesign and develop robust and scalable ML/AI solutions on GCP.Implement RAG architectures using Vertex AI Search and orchestrate Large Language Models (LLMs).Develop strategies for Prompt Engineering and model optimization.Establish pipelines for model evaluation and monitoring.Contribute to the AI transformation of our clients with innovative solutions. Your ProfileYou have a minimum of 5 years of experience in Data Science / Machine Learning.You possess proven professional experience with Google Cloud.You are passionate about your field: you engage in continuous learning and have personal projects. Why Join SFEIR?Every Sfeirian is paired with an Engineering Manager for support.Opportunities for growth into roles such as Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager.Ongoing training access via Google Cloud Skills Boost and certifications.Participation in Google Cloud events.Be part of an active community with over 50 annual events. Your Sfeirian PackageChoice of equipment: MacBook Pro or Dell Precision.

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.

Join our dynamic Analytics Engineering team as a Senior Data Engineer - GCP/BigQuery at Doctolib, where you will play a crucial role in enhancing healthcare accessibility through data-driven insights.Your primary objective will be to develop innovative data products that facilitate informed decision-making across the organization. You will collaborate with a talented team to create robust data pipelines and solutions that support our AI strategy.At Doctolib, we pride ourselves on fostering a collaborative and agile environment, working closely with product, design, and business teams to build features that improve the everyday lives of healthcare professionals and patients.Your responsibilities will include:Designing and maintaining data pipelines using Python to align with Doctolib’s AI initiatives.Developing and managing data marts in BigQuery utilizing SQL/Jinja and DBT.Creating high-level reporting dashboards with Tableau.Engaging with stakeholders to grasp their data requirements and establish clear specifications.Ensuring data quality, security (GDPR compliance), and availability through diligent monitoring and optimization.About Our Tech Environment:Our infrastructure is fully cloud-native, facilitating web and mobile interfaces across various languages, tailored to meet specific healthcare and country requirements. We are modularizing our platform and operating it in a distributed architecture using reusable components.Our tech stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.We prioritize ethical AI integration across our products to empower both patients and healthcare professionals. Explore our AI vision here and learn about our inaugural AI hackathon here!Our data stack comprises Kafka/Debezium for data ingestion, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

About the Role Talan is looking for a Tech Lead Cloud in Paris with expertise in Microsoft Azure, AWS, and Google Cloud Platform. This role centers on leading cloud projects, shaping strategies, and supporting a team of cloud engineers. The position offers the chance to influence client solutions and help deliver reliable, high-quality cloud services. Main Responsibilities Lead cloud initiatives across Azure, AWS, and GCP platforms Define and guide cloud strategies for client projects Mentor and support a team of cloud engineers Ensure delivery of effective, innovative cloud solutions Location Paris

Join our innovative team at Doctrine as a Site Reliability Engineer specializing in Google Cloud Platform (GCP). In this role, you will play a key part in enhancing the reliability and performance of our cloud-based systems, ensuring seamless service delivery to our clients.As a Site Reliability Engineer, you will collaborate closely with our development and operations teams to implement robust monitoring, automation, and incident response strategies. Your expertise will help us scale our infrastructure while maintaining high availability and reliability.If you are passionate about cloud technologies and thrive in a fast-paced environment, we would love to have you on board!

Sopra Steria is hiring a Data Engineer with strong Google Cloud Platform (GCP) skills to support projects in the financial services sector. This position is based in Paris. Role overview This role focuses on designing, building, and maintaining data pipelines that support financial services initiatives. Collaboration with cross-functional teams is central, as data must move efficiently across multiple platforms and systems. Key responsibilities Work closely with teams to create and manage data pipelines using GCP tools. Ensure data flows smoothly and securely between platforms. Implement and optimize data solutions that support business goals in financial services. What we are looking for Experience with Google Cloud Platform (GCP) in a data engineering context. Ability to design and maintain data pipelines. Interest in financial services and using data to drive business insights. Strong collaboration skills for working with diverse project teams.

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.

Are you looking to join a leading fintech company in credit and insurance, known for its strong growth, innovation, and an abundance of projects? If so, this opportunity could be perfect for you!As part of the Data, AI & CRM department, you will join the Data for Business team responsible for developing data and AI products across all our operations.In an agile environment, you will be part of a team of 5, including data analysts, data engineers, and a Product Manager.Your responsibilities :Define, design, and implement strategies related to the Data Platform:Architecture (currently using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Azure exposure) in collaboration with the Architecture teams to ensure cost-effective availability of data;Ensure Data Platform security by working closely with the Group's Cybersecurity teams;Functional coverage (tools, business functions) for the Group and feeding the Bronze layer, which includes implementing and maintaining reliable and efficient data pipelines using Python (ETL/ELT approaches);Build the Silver layer (customer references, opportunities, products, consent, etc.) aligned with business needs, including implementing and maintaining DBT pipelines and providing meta data, especially data models;Monitor activity to ensure data reliability for all our operations.Define, design, and implement the data governance strategy:Contribute to the implementation of data governance (Fluidity, Data Quality, outreach, cultural awareness) with business units and data consumers (Data Analysts, Finance, Data Scientists, etc.).Organize the framework and processes:Establish and promote modern engineering practices: CI/CD, automated testing, infrastructure as code, GenAI for Data, MCP Data Platform, particularly in collaboration with Software Engineering teams.Communicate and collaborate:Be the point of reference for the data engineering team (team leadership, code reviews, skills development) and assist in team recruitment.Maintain an active watch on cloud and data technologies to propose continuous improvement initiatives.

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.

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.

Your RoleAt Doctolib, we are committed to revolutionizing healthcare with innovative AI solutions. As a Senior AI Data Engineer, you will be a pivotal player in constructing and refining the data infrastructure within our AI Team, enabling the development of safe, scalable, and impactful AI models.You will collaborate with a skilled team dedicated to enhancing data infrastructure for Large Language Models (LLM), Vision Language Models (VLM), and Retrieval-Augmented Generation (RAG) systems, which will power our groundbreaking AI Medical Companion.Your expertise will empower our engineers and data scientists to efficiently train, evaluate, and deploy AI models using high-quality, well-structured, and compliant data.Key Responsibilities:Guarantee exceptional data quality standards for inputs to AI models.Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning applications.Implement frameworks for data ingestion and transformation that support Retrieval systems and training datasets for LLMs and multimodal models.Architect and manage NoSQL and Vector Databases for the efficient storage and retrieval of embeddings, documents, and model inputs.Collaborate with ML and platform teams to establish data schemas, partitioning strategies, and governance rules ensuring privacy, scalability, and reliability.Integrate unstructured and structured data sources (text, speech, images, documents, metadata) into cohesive data models ready for AI utilization.Optimize the performance and cost of data pipelines utilizing GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI).Contribute to frameworks for data quality and lineage, ensuring AI models are trained on validated, auditable, and compliant datasets.Continuously assess and enhance our data stack to expedite AI experimentation and deployment.