Senior Data Engineer (H/F)

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 …

Join our dynamic team at myjobcompany1 as a Lead Systems Engineer in Paris! In this pivotal role, you will lead the design, development, and implementation of innovative systems solutions that enhance operational efficiency. Collaborate with cross-functional teams to ensure project success and drive technological advancements.

Role Overview airapps is hiring a Data Engineer in Paris to help turn raw data into clear, useful insights. This role focuses on designing, building, and maintaining scalable data pipelines. The position also involves integrating data from multiple sources and supporting analytics teams with reliable, well-structured data. What You Will Do Design and develop scalable data pipelines Integrate data from a variety of internal and external sources Maintain and optimize data architecture for performance and reliability Monitor and improve data quality Support analytics teams by ensuring access to accurate, well-organized data Location Paris

The AI Platform at Datadog is at the forefront of our AI infrastructure, dedicated to empowering data scientists and engineers with robust tools and platforms for large-scale training and inference. Our initiatives include notable products such as Bits AI, LLMObs, and additional AI research efforts.As the Engineering Manager for the Training & Serving team, you will play a pivotal role in a rapidly expanding team and help define our technical vision and roadmap. Your team will tackle significant technical challenges, including distributed training of foundation models, scaling serving systems, and enhancing user experience.You will collaborate closely with other teams within the AI Platform organization to ensure a smooth AI development cycle and partner with the Applied AI organization and Datadog infrastructure teams to build systems from the ground up.At Datadog, we prioritize our office culture, valuing the relationships, creativity, and collaboration that come from working together. We embrace a hybrid work model to allow our employees to achieve a work-life balance that suits them best.

Join Wavestone as a Senior Consultant or Manager in our Platform Engineering, SRE & DevOps practice. In this role, you will leverage your expertise to guide clients in implementing state-of-the-art DevOps processes and ensuring high availability of their systems. You will work collaboratively with cross-functional teams to deliver innovative solutions that drive operational excellence.

Join Theodo as a Lead AI EngineerAt Theodo, we have been supporting innovative companies since 2009 in the design, development, and deployment of cutting-edge digital products by leveraging the best of technology and Lean methodologies.With 15 years of exceptional growth, Theodo boasts a team of over 700 passionate software engineers committed to continuous improvement. Our organization has diversified into specialized entities focusing on technology (Theodo Apps, Theodo Cloud, Theodo Data & AI) and industries (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to generate a revenue of €100 million.Established in 2016, Theodo Data & AI is dedicated to assisting clients in shaping and implementing their data strategies, alongside researching and developing state-of-the-art artificial intelligence solutions.Our company is thriving: Theodo Data & AI experiences over 30% annual revenue growth, creating exciting new opportunities for our team members!

At Joko, we empower consumers to shop smarter and save money. Our mission is to transform the shopping experience, helping individuals make informed decisions about their purchases.Founded in the vibrant city of Paris, Joko is a forward-thinking tech company and a certified B Corp, boasting a diverse team of over 90 professionals across Paris, Barcelona, New York, and beyond. With more than 5 million users benefiting from our services at over 10,000 merchants, we are committed to making shopping more rewarding.We continuously innovate, offering solutions like cashback, automated coupons, price alerts, and carbon tracking. Currently, we are developing an AI-powered shopping assistant designed to help users select the best products based on price, quality, and sustainability.Having achieved profitability in our core market, we are excited to expand globally, with a keen focus on the US market. Join us on this journey and help shape the future of shopping!‍ About Our Data TeamThe Data team at Joko plays a pivotal role in converting data into actionable insights that drive innovation across the company. Within the Data & Operations department, our primary goal is to establish robust data foundations that empower all teams to make informed, rapid, and scalable decisions.Currently, our team comprises Data Analysts who handle a wide array of tasks, from building dashboards and conducting analyses to designing and managing data pipelines. We are now seeking our inaugural Data Engineer who will take charge of our infrastructure, set new benchmarks for scalability and reliability, and create a solid data platform to support Joko's future growth and AI initiatives in this dynamic environment.Key Responsibilities:Develop data as a product: Design, document, and maintain reliable datasets utilized across the organization for business reporting, experimentation, automation, and internal tools.Manage and enhance a modern data stack: We utilize Snowflake, dbt, Airbyte, and Metabase. As we expand, we plan to optimize our pipelines, strengthen orchestration, and enhance monitoring and governance.Provide actionable insights and support AI initiatives: Deliver high-quality reports, self-service dashboards, and data tools that empower teams across Product, Operations, and Marketing to analyze and act on data. Lay the groundwork for data science initiatives and AI-driven features that will shape the future of Joko’s offerings.Promote a data-centric culture: At Joko, we believe that data is everyone’s responsibility. We encourage a robust data culture by fostering collaboration and education among all teams.

Join Our Team as a Data Engineer!At Free2Move, we invite you to be part of a dynamic technical team of around thirty professionals in a warm and fun working atmosphere! As a member of the Data Analytics team, you will engage in marketplace analyses, cross-squad projects, and address operational needs for the Free2Move platform. Your responsibilities will include:Analyzing service data and user data from our platforms.Building dashboards and data visualizations to support business teams.Ensuring data analysis consistency and quality control.Contributing to the maintenance and analysis of our data warehouse.Promoting a data-driven culture within the teams.

Shift Technology stands at the forefront of innovation in the insurance sector, harnessing the power of artificial intelligence. Our platform integrates generative, agentic, and predictive AI to revolutionize underwriting, claims management, and fraud detection, thereby enhancing operational efficiency and delivering exceptional customer experiences.With a diverse team from over 50 countries, we are united by a commitment to reshape the insurance landscape through our SaaS solutions.Our engineering team is pivotal to our success, tackling intricate challenges and collaborating across departments to deliver high-quality results.We are redefining how data influences decision-making by developing robust, scalable software and data platforms. Whether your passion lies in distributed systems, API creation, or facilitating data-driven insights, you will discover rewarding opportunities here.Our technology stack encompasses .NET Core (C#), Python, MS SQL Server, Spark, Azure Data Factory (ADF), Databricks, GoodData, Terraform, and more. We are advancing toward distributed data systems on cloud platforms, offering intriguing challenges in both batch and real-time processing.Key Responsibilities:Design and sustain scalable data models and frameworks for data access that underpin centralized databases and downstream applications.Construct and enhance ETL pipelines to ingest, transform, and integrate diverse data sources, ensuring data integrity, quality, and accessibility through tools like Apache Spark, .NET libraries, Azure Data Factory, and DBT.Engage in Agile methodologies by contributing to sprint planning, daily stand-ups, and retrospectives to ensure continuous delivery aligned with team objectives.Collaborate with product teams to translate roadmap priorities into actionable technical designs and deliverables that satisfy business and customer demands.Work closely with Data Scientists and Engineers to create frameworks that simplify customer data integration and bolster advanced analytics.Participate in code reviews, deployment activities, and monitoring to ensure high-quality production releases and seamless operation of data pipelines and frameworks.

Your Impact Join our dynamic Data and ML Platform team as a Senior Staff DataOps Engineer. Your role will be pivotal in defining our data platform strategy and architecture, facilitating enterprise-scale solutions that propel machine learning initiatives, foster engineering excellence, and unveil critical business insights. As part of the tech team at Doctolib, you will contribute to the development of innovative products and features that enhance the daily experiences of care teams and patients. What You’ll Build Your key responsibilities will include: Crafting and executing enterprise-scale data infrastructure strategies, performing comprehensive impact and cost analyses for significant technical decisions, and establishing architectural standards across the organization. Creating and optimizing intricate, multi-region data pipelines capable of processing petabyte-scale datasets, ensuring 99.9% reliability, and implementing advanced monitoring and alerting systems. Spearheading cost analysis initiatives, pinpointing optimization opportunities within our data stack, and executing solutions that minimize infrastructure costs while enhancing performance and reliability. Offering technical leadership to data engineers and cross-functional teams, conducting architecture reviews, and promoting the adoption of best practices in DataOps, security, and governance. Assessing emerging technologies, performing proof-of-concept for new data tools and platforms, and guiding the technical roadmap for data infrastructure modernization. What You’ll Bring If you feel your skill set aligns with this role, we encourage you to apply even if you don’t meet every qualification outlined below: 7+ years of experience in a similar role, such as Staff Data Platform Engineer, Staff DataOps, or Staff Site Reliability Engineer, with a proven track record in architecting and scaling robust data platforms. In-depth experience with Google Cloud Platform, and proficiency in Kubernetes & Terraform for automated deployments, alongside expertise in network and IAM security best practices. Strong technical skills in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data tools effectively.

sia is seeking a final year intern for a DevOps / Platform Engineer position in Paris. This internship targets students completing their studies who want to apply their knowledge in a professional setting focused on software development and platform operations. What you will work on Collaborate with experienced engineers on active projects Assist in deploying and managing cloud-based systems Automate deployment workflows Contribute to platform performance improvements Who should apply Students in their final year with an interest in DevOps or platform engineering Individuals eager to develop technical skills and participate in meaningful projects Those who enjoy working and learning as part of a team This internship provides hands-on experience and the opportunity to strengthen your expertise in a supportive team at sia, 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 Iliad as a Senior Data Engineer based in Paris. In this pivotal role, you will leverage your expertise in data engineering to design, develop, and maintain robust data pipelines and architectures. You will collaborate with cross-functional teams to drive data-driven decision-making and enhance our data infrastructure.

About StaycationAt Staycation, we believe that hotels should be more than just a travel destination; they should be part of your everyday life.Our mission is to unveil the hidden gems within hotels, from breathtaking rooftop views to world-class dining experiences, and transform them into urban leisure destinations.With over 4 million users across France, Belgium, and Switzerland, and a partnership with more than 2,000 premier hotels, we are redefining how people engage with their cities.Join us in our quest to reimagine urban hospitality, providing a unique escape for locals and travelers alike.

Sia seeks a Data Engineer in Paris to join its data-focused projects. This entry-level position centers on building technical skills while working with modern data tools. The team values curiosity and a willingness to learn. Role overview This role supports ongoing data initiatives across the company. Daily tasks involve collaborating with experienced colleagues and contributing to projects that rely on data-driven insights. What you will do Work with current data tools and technologies Assist in developing and maintaining data solutions Contribute to projects that support company-wide data needs Requirements Interest in data engineering and technical growth Willingness to learn from a skilled team Based in Paris

About UsYubo is the premier social discovery application designed to help users forge new friendships and engage in meaningful online interactions. By removing likes and follows, we enable our users to be authentic and connect genuinely.We are at the forefront of transforming how Generation Z socializes online, boasting millions of active users. Our mission is to redefine social connections both now and in the future.Our diverse and international team is passionately dedicated to our cause. As a leading social platform, we bear the responsibility of creating a safe digital environment for our community. Safety is integral to our identity, and we prioritize user protection, support, and education while collaborating with the tech industry and NGOs to establish top-tier child protection standards.Join us on this thrilling journey and play a key role in shaping the future of social interactions!Role Overview:We are in search of a Senior Data Engineer who thrives in a dynamic environment where experimentation is the standard. You will not be confined to a single squad; instead, you will engage with various initiatives, primarily supporting our product squads as they swiftly prototype and implement new data models.This position is a vital part of the Infrastructure team, granting you significant ownership. You will be tasked with designing data models from the ground up and overseeing their production. Collaborating closely with DevOps, you will optimize databases and servers, allowing you to excel in creating clean, scalable, robust, and cost-effective data pipelines—an essential aspect of our profitability!As a key contributor during project kick-offs, you will participate in design discussions, critically evaluate proposals, and ensure that implementations are feasible.If you have a passion for engaging in fast-paced projects, discussing architecture with backend developers, and developing data models capable of scaling under heavy loads, this is the perfect opportunity for you.

The AI platform at Datadog is integral to our commitment to delivering exceptional AI infrastructure. Our goal is to equip data scientists and engineers with powerful tools and platforms that facilitate seamless large-scale training and inference. We proudly support innovative products such as Bits AI, LLMObs, and our extensive AI research.Join our rapidly expanding team that plays a pivotal role in shaping the future of Datadog. In this position, you will be vital in building and scaling our team, defining our technical vision, and crafting the roadmap for our initiatives. You will oversee other managers and play a key role in structuring our organization, including recruiting future managers and individual contributors. Collaborate closely with various teams within the AI platform organization to ensure a streamlined AI development cycle, and work alongside the Applied AI organization, product engineering teams, and Datadog's infrastructure and tooling teams to build systems from the ground up.At Datadog, we cherish our office culture—fostering relationships, encouraging creativity, and promoting collaboration are fundamental to our mission. We embrace a hybrid workplace model, allowing employees to achieve a work-life balance that suits their needs.

Shift Technology is at the forefront of revolutionizing the insurance industry through advanced AI solutions. Our platform integrates generative, agentic, and predictive AI to enhance underwriting, claims management, and fraud detection, yielding operational efficiencies and outstanding customer experiences. Renowned by leading insurers globally, Shift delivers impactful AI solutions at scale.Our culture thrives on innovation, trust, and a commitment to transforming insurance via our SaaS platform. Our diverse team, representing over 50 different nations, is collaboratively shaping the future of insurance.Our Engineering team is essential to the value we provide to our clients. We tackle complex challenges both within our squads and in collaboration with other teams across the organization.Join us as we redefine how data drives decision-making by developing powerful, scalable software and data platforms. If you're passionate about distributed systems, API development, or enabling data-driven insights, we have exciting opportunities for you.Our technology stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, Azure Data Factory (ADF), GoodData, Terraform, and more. We are evolving towards distributed data systems on cloud platforms, presenting stimulating challenges in both bulk and real-time processing.

nexton is seeking a Power BI / Power Platform Developer based in Paris. This role centers on designing and implementing data solutions to support decision-making and operational improvements for clients in the banking and insurance sectors. What you will do Build data models with Power BI and Power Platform tools Design dashboards that present complex data as clear, useful insights Automate workflows to make business processes more efficient Collaborate with teams from various departments to deliver tailored solutions for clients Requirements Hands-on experience with Power BI and Power Platform Skill in turning technical data into actionable business advice Comfort working alongside cross-functional teams Interest in addressing challenges within banking and insurance

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.