Data Engineer

Summary

Join Shift Technology's Engineering team and contribute to building powerful, scalable software and data platforms that reshape how data drives decision-making in the insurance industry. Develop and maintain data models, build ETL pipelines, and collaborate with cross-functional teams. Contribute to Agile development processes, translate roadmap priorities into technical designs, and work with Data Scientists to enhance data integration frameworks. Ensure high-quality production releases and smooth operation of data pipelines. This mid-level role requires at least two years of experience in data engineering or software engineering, strong coding skills, and a data-oriented mindset.

Requirements

• Experience : You have at least 2 years of professional experience in Data Engineering or Software Engineering focused on data-related projects
• Code-savvy, either by having a degree in computer science and having developed some apps with actual users – writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking
• Ability to produce optimized and stable code which will smoothly run in a production context; you’re familiar with algorithm complexity assessment; you can write unit tests and integration tests; you think about potential problems and edge cases
• Knowledge and experience using object-oriented concepts ; you can design class diagrams and use common object-oriented design patterns naturally. C# knowledge is a plus
• Data-oriented mindset ; you have strong data exploration skills using standard Python libraries; you can dive deep into datasets to identify optimal ways to process and transform data
• Good practical spirit , eager to understand how new systems work, and able to troubleshoot and improve them; when hitting an unexpected problem, you are ready to dig in to solve the problem yourself
• Teamwork capabilities ; you are comfortable working with others and you have good communication skills. You can collaborate effectively with the Product team to refine and clarify technical specifications, ensuring alignment between business needs and engineering solutions. You proactively maintain clear, thorough documentation to support knowledge sharing and collaboration across distributed and remote teams
• English speakers ; we are an international company with offices in many countries and 40+ nationalities, the Shift working language is English

Responsibilities

• Develop and maintain scalable data models and data access layer frameworks that serve as the foundation for centralized databases and downstream applications
• Build and optimize ETL pipelines to ingest, transform, and integrate various data sources, ensuring data consistency, quality, and availability, leveraging Apache Spark, .NET libraries, Azure Data Factory, DBT
• Contribute to Agile development processes by participating in sprint planning, stand-ups, and retrospectives to ensure continuous delivery and alignment with team goals
• Collaborate closely with the product team to translate roadmap priorities into technical designs and deliverables that meet business and customer needs
• Work hand-in-hand with Data Scientists to create and enhance frameworks that simplify customer data integration and support advanced analytics and machine learning workflows
• Participate in code reviews, deployment processes, and monitoring to ensure high-quality production releases and smooth operation of data pipelines and frameworks

Preferred Qualifications

This position is based in Paris, so knowledge of French is a big plus

Benefits

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)