Data Engineer

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.

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.

About KovaleeEstablished in 2020, Kovalee is revolutionizing the mobile app landscape with an ambitious mission: to empower app developers to achieve top rankings in their respective niches, irrespective of their resource limitations. Leveraging cutting-edge technology and our expertise in user acquisition, app store optimization, product enhancement, and monetization strategies, Kovalee enables developers to concentrate on their art while we propel their apps’ success. Our flagship applications, including Bend, PepTalk, and ParrotPal, exemplify our achievements, having reached the pinnacle of their categories.Honored as one of the fastest-growing startups of 2024 by Sifted, Kovalee boasts a vibrant, diverse team of over 20 professionals hailing from more than 15 different nationalities, all driven by a common vision: to redefine the mobile app industry.We invite you to join our team as a Senior Data Engineer. In this pivotal role, you will be instrumental in enhancing our data infrastructure. You will architect the team's strategic roadmap, optimize data workflows, and guarantee the delivery of reliable, high-quality data across the organization, empowering more informed decision-making in User Acquisition, Product Management, and Creative Development.

Are you enthusiastic about data and its applications within the space sector? Do you aspire to broaden your skills and be a part of a dynamic and innovative field? At Novaspace, you will enter an exciting international consulting group that specializes in the rapidly evolving space industry. We are on the lookout for a Data Engineer Intern to aid in our strategic initiatives by developing cutting-edge data-centric products.As a Data Engineer Intern, you will collaborate with our digital and data team, playing a vital role in supporting our digital activities and shaping our data strategy within the space sector.

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.

Role OverviewJoin our dynamic team at Mistral as a Data and Analytics Engineer. In this pivotal role, you will play a crucial part in designing, optimizing, and managing our data infrastructure. You will handle vast datasets, enabling our product teams to access secure and reliable data swiftly. Your expertise will be instrumental in enhancing our cutting-edge AI models and empowering business users to make data-driven decisions.Key Responsibilities• Design, construct, and maintain robust data pipelines, ETL workflows, and analytics frameworks. Implement automation for data quality assessments and validation processes.• Collaborate with cross-functional teams to identify data requirements and deliver actionable, high-quality solutions, specifically partnering with machine learning teams to facilitate model training, deployment pipelines, and feature stores.• Enhance data storage, retrieval, processing, and query performance while ensuring scalability and cost-effectiveness.• Establish and uphold data governance, metadata management, and data lineage protocols.• Safeguard data integrity, security, and compliance with prevailing industry standards.Your Profile• Master’s degree in Computer Science, Engineering, Statistics, or a related discipline.• A minimum of 3 years of experience in data engineering, analytics engineering, or a similar position.• Proficient in Python and SQL.• Familiarity with dbt.• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).• Excellent analytical and problem-solving skills with a strong attention to detail.• Proven ability to communicate complex data concepts effectively to both technical and non-technical stakeholders.Preferred Qualifications• Experience with data visualization tools (e.g., Tableau, Looker) is a plus.• Familiarity with machine learning concepts and practices.

Who Are We? Safran.AI (formerly Preligens) specializes in advanced artificial intelligence solutions designed for analyzing high-resolution satellite imagery, full motion video (FMV) streams, and acoustic signals. Our innovative tools are deployed across the aerospace, defense, and governmental sectors. Since 2016, the company has been at the forefront of developing complex algorithms and software that automate the analysis, detection, and identification of military-relevant objects using both commercial and governmental data sources. As a part of the Safran group since September 2024, Safran.AI is also instrumental in transforming the group by applying AI solutions to Industry 4.0 domains. For instance, automated image analysis can assist inspectors in identifying potential anomalies in critical components from digital photographs. At Safran.AI, innovation and the pursuit of a safer world are embedded in our culture. Joining our team means collaborating with passionate, multi-disciplinary experts (engineers, researchers, developers) who are driven by a shared commitment to technological excellence. We foster a stimulating work environment where creativity and initiative are encouraged, and every idea is valued. Your Mission, Should You Choose to Accept It As a Full Stack Developer, you will be instrumental in the design and ongoing development of our product and infrastructure, primarily utilizing Python, PostgreSQL, and other cutting-edge technologies. → Design, develop, and maintain our back-end infrastructure and automated pipelines.→ Create, maintain, and evolve user interfaces (JS/CSS) for partner plugins.→ Collaborate with the team on specifications, testing, and technical best practices.→ Work closely with all teams and subject matter experts to understand end-user needs.→ Ensure high code quality for our frameworks by applying best practices and mentoring others. Technology Stack:Our development teams primarily use Python for back-end development and JavaScript (React) for front-end solutions. We also leverage Docker for deployment and SQL/PostgreSQL for database management.

Odaseva is looking for a Data Engineer to join the team in Paris. This role centers on building and maintaining data pipelines that keep the company’s data infrastructure running smoothly. The work helps ensure data stays accurate and accessible for business needs. Key responsibilities Develop and maintain reliable data pipelines to support business operations Monitor data integrity and address issues as they come up Collaborate with teams across Odaseva to deliver effective data solutions Contribute to projects that enhance business insights and improve operational workflows Location This position is based in Paris.

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

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

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.

About OguryOgury is a leading global adtech firm specializing in Personified Advertising solutions that prioritize privacy. We serve brands, agencies, and publishers by focusing on persona targeting rather than individuals.At Ogury, we provide extensive audience reach on high-quality publisher inventory through our exclusive data, which is meticulously obtained from millions of self-reported customer surveys, enhanced with billions of critical data points, and refined through AI. This leads to audience insights and performance metrics that are unmatched by any other adtech platform.Established in 2014, Ogury is a diverse global organization with a team of over 500 professionals across 19 countries.At Ogury, our shared vision is our strength. We believe that our diverse backgrounds and experiences are key to our success. We celebrate individuality, fostering a unique culture where everyone feels secure, has equal opportunities, and is encouraged to bring their authentic selves to work every day.Together, we are transforming the adtech landscape with values that inspire excellence, standards that promote leadership, and an inclusive environment where Ogurians feel engaged and valued.

Key ResponsibilitiesJoin a dynamic and friendly technical team of around thirty members! As part of the Data Analytics team, you will engage in insightful analyses related to connected vehicles. Your key responsibilities will include:Conducting in-depth analysis of data from connected cars to develop structured insights on fleet usage.Analyzing usage data from our platforms.Ensuring the consistency and quality control of our data analyses.Contributing to the maintenance of our data warehouse.Occasionally supporting other data-related tasks.

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.

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.

As a Senior Data Engineer / Architect reporting to the Head of Network Automation, you will play a pivotal role in designing the overarching data architecture, ensuring scalability and robustness of data solutions.Your responsibilities will include overseeing data engineering efforts, implementing data governance policies, and maintaining the quality and management of metadata.This position requires close collaboration with data scientists and DevOps teams to ensure seamless integration and optimal performance of data solutions.Moreover, this role includes a technical leadership aspect, acting as a Tech/Dev Lead, supervising the technical aspects of the Data Engineers/Devs team or squad, and guiding best development practices.Your key responsibilities will involve:Architecture Design: Crafting the architecture for data lakes and warehouses, ensuring they are scalable and high-performing.Data Engineering Oversight: Supervising the development and optimization of data pipelines, RESTful APIs, and ETL processes.Data Governance: Implementing data governance policies, ensuring data quality, and managing metadata.Technical Collaboration: Collaborating with data science and DevOps teams to integrate data solutions within existing infrastructure.Technical Leadership: Experience in managing technical teams, solving complex technical issues, and mentoring on best development practices.

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...

Join Vizzia as a Senior Data Engineer and play a pivotal role in transforming data into actionable insights. Collaborate with cross-functional teams to design and implement robust data pipelines and solutions that enhance our analytics capabilities.

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