Data Engineer - Google Cloud Platform

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.

Safran.AI, a subsidiary of Safran Electronics & Defense and formerly known as Preligens, develops artificial intelligence solutions for analyzing high-resolution satellite imagery, full motion video streams, and acoustic signals. The company’s technology supports aerospace, defense, and government sectors, and since September 2024, its mission has expanded to include Industry 4.0 applications. AI-powered image analysis now assists inspectors in identifying potential anomalies in critical components using digital photographs. With a team of around 300 employees and nearly €80M in revenue, Safran.AI is growing rapidly and focusing on international expansion and organizational development. The company values innovation, safety, and a collaborative environment where engineers, researchers, and developers contribute ideas and drive technological excellence. Role overview The EPM & Data Modeler will take ownership of the Pigment platform at Safran.AI in Paris. This role acts as the main point of contact for Pigment, handling updates to existing models, building new models and features, and supporting the deployment of Pigment across different teams. The position was created to bring Pigment expertise in-house, following an initial implementation with external consultants. Key focus areas Maintain and update Pigment models to address changing business requirements Develop new models and features within the Pigment platform Facilitate adoption and effective use of Pigment across multiple teams

Join our dynamic team at Dedale Intelligence as a Data Engineer, where you will play a pivotal role in designing and implementing innovative data solutions. Your expertise will help us harness the power of data to drive business insights and enhance decision-making processes.

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.

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.

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

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.

Join Sopra Steria, a leading European technology and consulting company, as a Data Engineer specializing in PySpark within our Financial Services division. This role offers you the opportunity to work on innovative data solutions that drive business insights for our financial clients.Your responsibilities will include designing and implementing data pipelines, optimizing data processing workflows, and collaborating with cross-functional teams to leverage data for strategic decision-making. We seek creative thinkers who can navigate complex data environments and provide valuable insights through advanced analytics.

Join our dynamic team at Sopra Steria as a Data Engineer specializing in PySpark within the Financial Services sector. In this role, you will leverage your technical expertise to design, develop, and optimize data processing pipelines, ensuring the efficient handling of large datasets. Your contributions will play a vital role in advancing our data strategies and driving impactful insights for our clients.

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.

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.

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.

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.

Join Wavestone as we navigate the complexities of data governance and management. In this role, you will be at the forefront of developing practical and effective governance models that enhance data utilization and value across organizations. Your expertise will help drive strategic decisions and foster an environment where data is seen as a vital asset.

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.

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!

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.