Senior Data Engineer at Yubo | Paris - Fully Remote

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 …

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.

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.

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.

Join Outsight, where our innovative software solutions harness the power of 3D LiDAR data to monitor the movement of individuals and vehicles. Our technology is utilized by transportation hubs, including airports, train stations, sports venues, road infrastructures, and industrial sites, enabling operators to access precise and anonymous Spatial Intelligence data that enhances operational efficiency and elevates user safety and satisfaction.Our dynamic international team, comprised of talented scientists and engineers, drives the advancement of our solutions from our offices in Paris, San Francisco, Sophia-Antipolis (Nice), and Hong Kong, with an additional commercial office in Spain. To learn more about our mission and offerings, visit Insights about Outsight.ContextBecome a key member of our Platform Engineering team, where you will ensure the reliability, scalability, and automated deployment of the Data Layer for our Shift Cloud Platform. This essential system processes 3D LiDAR object change events captured and analyzed by our perception engine. Your focus will be on achieving operational excellence to deliver spatial intelligence utilized by prominent global airport operators.ResponsibilitiesAutomate the deployment and testing of data pipelines using cutting-edge CI/CD methodologies.Implement and manage Infrastructure-as-Code (IaC) for our AWS cloud data platform, ensuring consistent environments.Design, implement, and maintain monitoring, alerting, and logging systems to oversee data quality, pipeline health, and system performance.Proactively optimize and tune the data platform for cost efficiency, performance, and reliability.

Nous sommes à la recherche d’un consultant de haut niveau spécialisé en Data Engineering, disposant d’une expertise approfondie dans les technologies AWS (Kinesis, DMS, S3, etc.), Airflow, Terraform, GitLab CI/CD, Python ainsi qu’une solide maîtrise des bases de données telles qu’Exadata, Oracle, SQL Server et Snowflake. Il sera chargé de concevoir et développer des pipelines de réplication et de traitement de données dans un environnement cloud tout en contribuant activement à la fiabilité, l’automatisation et la scalabilité de notre plateforme data. Rejoignez-nous, épanouissez-vousVos missions : Développement de pipelines ETL/ELT avec Airflow, Python, SQLConnexion aux bases sources (Exadata, Oracle, etc.)Intégration des données dans AWS (S3, Kinesis, DMS, Lambda...)Nettoyage, mapping, déduplication et enrichissement des donnéesCollaboration avec les architectes pour appliquer les modèles ciblesDocumentation technique et référentielsConcevoir et mettre en œuvre les flux de réplicationHarmoniser et transformer les donnéesAutomatiser les pipelines de donnéesDévelopper des Pipelines GitLab CI/CDDévelopper d'IaC pour des architectures sophistiquées full AWS avec Terraform, Ansible et Python.Contribuer au FinOps Vous êtes le bon candidat si :Aptitudes : Être dynamique, proactif, autonome, et ouvert d'esprit, bon communicant avec une grande curiosité scientifiqueTrès bonne maîtrise de l’écosystème AWS (S3, Kinesis, DMS, Lambda…)Très bonne maîtrise des bases de données et des Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.)Maîtrise des langages : SQL, PythonMaîtrise des outils de traitement et d’orchestration (Apache Airflow, dbt, Python, SQL)Bonne expérience en Terraform pour l’IaCConnaissance de GitLab CI/CD pour l’automatisation des déploiementsExpérience avec des CRMConnaissance des problématiques de data quality, modélisation, monitoring et alertingExpérience : Justifier d'au moins 6 ans d'expérience en tant que Data Engineer ou Ingénieur Intégration Data dans des environnements similairesUne ou plusieurs certifications (AWS, Snowflake, Terraform, etc.) sont fortement appréciéesLangues : Maîtrise de l'anglais courant Ce que nous avons à vous offrirCAPFI est une entreprise vivante qui place le collectif et le bien-être au cœur de sa culture.

Role Overview nexton is hiring a Senior Data Engineer to strengthen infrastructure and reliability for Audit and ETL workflows. This position is based in Paris and focuses on building and improving data pipelines that underpin essential business operations. What You Will Do Design, implement, and refine data pipelines to support audit and ETL processes Optimize systems for scalability, data quality, and operational efficiency Work closely with other engineers to develop solutions that meet business needs Who We’re Looking For Proactive mindset and a collaborative approach to problem-solving Strong interest in using data to address complex technical challenges Experience with infrastructure and reliability in data engineering environments If you enjoy tackling new challenges and want your work to have a direct impact on data quality and business outcomes, nexton welcomes your application.

Join Talan as a Senior Data Engineer and leverage your expertise in Dataiku to drive innovative data solutions. In this pivotal role, you will collaborate with cross-functional teams to design and implement scalable data pipelines and analytics frameworks. Your contributions will empower data-driven decision-making and enhance business intelligence.

Wavestone is seeking a highly skilled Senior Consultant or Manager specializing in Data Architecture and Data Engineering. In this pivotal role, you will leverage your expertise to design and implement data solutions that drive business transformation and enhance decision-making. Your responsibilities will include:Leading data architecture projects from conception to execution.Collaborating with cross-functional teams to define data strategies and best practices.Utilizing advanced data engineering techniques to ensure efficient data processing and storage.Mentoring junior team members and fostering a culture of continuous improvement.If you are passionate about data and eager to make a significant impact in a dynamic environment, we want to hear from you!

About the Data Engineer Internship Wakam is looking for a Data Engineer Intern to join the team in Paris. This internship offers the chance to work closely with experienced engineers and contribute to building and improving data solutions that support business goals. What You Will Do Collaborate with team members to design and develop data pipelines and systems Help implement data solutions that support data-driven projects Work with modern data engineering tools and methods Gain practical experience in a real-world business setting Location Paris

Theodo: Pioneering Digital TransformationSince 2009, Theodo has empowered innovative companies to design, develop, and deploy ingenious digital products, leveraging cutting-edge technology and a Lean approach.With exceptional growth over the past 15 years, Theodo now boasts a team of over 700 passionate Software Engineers dedicated to continuous improvement. Our expansion has led to specialized divisions (Theodo Apps, Theodo Cloud, Theodo Data & AI) focused on various technologies and industries (Fintech, Govtech, Healthtech, Consumer Products). By 2025, Theodo aims to achieve a revenue of €100M.Theodo Data & AI: Innovating with Intelligence Established in 2016, Theodo Data & AI is dedicated to guiding clients in shaping and executing their data strategies while developing state-of-the-art artificial intelligence solutions. Our growth trajectory is impressive, with over 30% annual revenue growth, creating exciting opportunities for our team.Join Our Dynamic Team:We work collaboratively across our projects, with the Lead Data & AI Engineer, Data & AI Engineer, and Product Manager ensuring impactful results for our clients.We are seeking a Data & AI Engineer to work across our Data Engineering and Data Science initiatives.- Data Engineering: Focus on data architecture, pipeline construction/migration, and data warehousing to ensure reliable data extraction, transformation, and usability.- AI/Data Science: Involve in predictive modeling, machine learning, computer vision, and MLOps.Your Responsibilities:- Deliver high-quality code within deadlines, ensuring best practices (testing, refactoring) and effective debugging for sustainable solutions.

Your Impact Join the Panda Team within our Data & AI Platform as a Senior MLOps Engineer. Your role will be pivotal in constructing and sustaining secure ML pipelines that revolutionize our management of healthcare data at scale. Collaborating with a dedicated feature team, you will develop essential data infrastructure that supports data-driven decision-making while safeguarding the privacy of millions of patients. Being part of the tech team at Doctolib means creating innovative products and features that enhance the daily experiences of healthcare teams and patients alike. What You’ll Build Design and implement comprehensive ML model pipelines in production (including LLM and custom models) with robust deployment, evaluation, and monitoring frameworks. Oversee the data pseudo-anonymization architecture within ingestion services, transforming Tier 0 (personal identifiers) into Tier 1 (anonymized data) while ensuring data quality and model performance. Develop and maintain secure data export services with ML-based threat detection to mitigate attack vectors (SQL injection, etc.) through adaptive models instead of manual rules. Manage golden datasets and establish production model evaluation frameworks to ensure both anonymization quality and system reliability. Construct and maintain data pipelines that efficiently extract, transform, and load data from a variety of sources, accommodating multiple data formats (text, images, audio, video). Implement automation and orchestration tools utilizing ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and minimize manual efforts. Continuously monitor data and ML platforms for performance, reliability, and security; proactively identify and resolve issues. Mentor team members on MLOps best practices to reduce knowledge silos and enhance organizational capability. Life at Doctolib Tech Our solutions are built on a fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is tailored to specific country and healthcare specialty requirements. Our tech stack features Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native, ensuring we leverage AI ethically across our products to empower patients and healthcare professionals.

Join Speechify as a Software Engineer specializing in Data Infrastructure & Acquisition. In this role, you will play a vital part in developing and maintaining our data ecosystems, ensuring seamless integration and acquisition of data that drives our innovative products. You will collaborate with cross-functional teams to design robust solutions that enhance our platform’s capabilities.

About MakiMaki is revolutionizing the HR landscape with fully autonomous AI hiring agents. Our technology streamlines the hiring process, from sourcing and screening to interviewing and selection, allowing HR teams to concentrate on what truly matters: engaging top talent and driving organizational success. Trusted by industry leaders such as H&M, BNP Paribas, and FIFA, Maki automates 90% of the screening and interviewing process, reducing time-to-hire by threefold and decreasing turnover by 20-30%.At Maki, we’re not just offering another tool; we’re shaping the future of AI-powered talent acquisition.Your Role as a Data Engineer Data EngineerAs a Data Engineer at Maki, you will create the data infrastructure that empowers our AI agents, product analytics, and customer insights. Your goal is to transform raw data into actionable insights, enabling every team at Maki to enhance decision-making, discover product opportunities, and provide an exceptional customer experience.Your responsibilities will include:Developing and maintaining essential data pipelines and models that drive product and business insights.Defining the collection, structuring, and tracking of product data to gain deep insights into user behavior and product performance.Creating clean, reliable, self-service data assets that empower Product, Customer Success, and Engineering teams to quickly explore and answer critical questions.Standardizing our metrics and data language to ensure the organization operates from a unified source of truth.Promoting data reliability and quality to guarantee our systems scale with accuracy, transparency, and trust.

Join Talan as a Senior Data Engineer specializing in Snowflake, where you'll play a vital role in our innovative data projects. We are looking for a passionate individual who thrives in a dynamic environment and is eager to contribute to our engineering and development team. You will be responsible for designing, implementing, and maintaining robust data pipelines and architectures, ensuring data integrity and availability.

About the Role Nexton is hiring a Data Engineer Manager to guide its data engineering team in Paris. This position centers on leading projects, supporting team growth, and working closely with other departments to strengthen data architecture and processing. Main Responsibilities Oversee data engineering projects from planning through delivery Mentor and develop team members Collaborate with cross-functional teams to improve data systems Drive the creation and optimization of data pipelines Ensure data assets remain accurate, available, and secure Location This role is based in Paris.

Role Overview Talan is hiring a Senior Data Engineer with a focus on Databricks for a permanent position in Paris. This role centers on building and improving data pipelines using big data tools. The Senior Data Engineer works closely with teams from different disciplines to turn raw data into useful insights. Maintaining data quality and making information accessible across the company are key priorities.

Why Join NebiusNebius is at the forefront of cloud computing, dedicated to empowering the global AI economy. We provide innovative tools and resources that enable our customers to tackle real-world challenges and revolutionize industries without incurring hefty infrastructure costs or the necessity of extensive in-house AI/ML teams. Our workforce operates at the cutting edge of AI cloud infrastructure, collaborating with some of the most experienced and innovative leaders and engineers in the industry.Our Work EnvironmentHeadquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a worldwide presence with R&D hubs across Europe, North America, and Israel. Our team comprises over 1,400 employees, including more than 400 highly skilled engineers with profound expertise in both hardware and software engineering, along with a dedicated in-house AI R&D team.The RoleWe are seeking a Data Center IT Infrastructure Engineer to diagnose and resolve IT hardware issues within our data center, focusing on RMA processes. This role requires a technical expert adept at navigating multiple technical and operational domains.Your Responsibilities Will IncludeTroubleshoot complex firmware and hardware issues related to servers, necessitating a deep understanding of system architecture and advanced troubleshooting techniques.Implement effective workarounds and solutions for various IT hardware problems.Serve as a subject matter expert and a point of escalation for Level 1 and Level 2 technicians.

Role overview QIMA seeks a Senior Manager of Data & Web Engineering based in Paris. This position leads a team dedicated to developing and enhancing platforms that drive marketing and customer engagement. The work centers on both data and web engineering, with a focus on supporting business growth and outreach. Key responsibilities Guide and mentor a team handling data and web engineering initiatives. Collaborate with other departments to ensure technical solutions fit business goals. Supervise the development and improvement of scalable data infrastructure. Contribute to web technology projects that advance marketing efforts and customer connections. Collaboration This position works closely with cross-functional teams, making sure technical systems support company needs and can adapt as the business evolves.

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;- ...