Staff Data Engineer
Software Engineering, Data Science
United Kingdom
Posted on Aug 5, 2026
Why Oviva?
At Oviva, we’re on a mission to make sustainable, personalized, clinically effective care accessible to everyone as we build Europe’s leading AI-powered chronic care platform. Our digital programmes help people manage weight-related illnesses by focusing on what matters most: improving health, building confidence, and enhancing quality of life.
To date, we have supported over one million people across the UK, Switzerland, and Germany. Our mission is powered by a dedicated team operating across four countries, including our hub in Poland. Every conversation, coaching session, and line of code brings us closer to a healthier future.
Our journey is accelerating: In 2026, we secured €200 million in Series D funding led by Kinnevik and a group of leading global investors. This investment fuels our next phase of growth, allowing us to scale our AI-enabled chronic care platform across Europe and expand our support to even more people living with chronic conditions.
Join us, and be part of the team making that future possible!
We are looking for a Staff Data Engineer to join our Data Platform team and help shape how we collect, model, and serve data across our entire organization. In this role, you will take ownership of building reliable, scalable data systems from source ingestion through to end-to-end data products.
At Oviva, we’re on a mission to make sustainable, personalized, clinically effective care accessible to everyone as we build Europe’s leading AI-powered chronic care platform. Our digital programmes help people manage weight-related illnesses by focusing on what matters most: improving health, building confidence, and enhancing quality of life.
To date, we have supported over one million people across the UK, Switzerland, and Germany. Our mission is powered by a dedicated team operating across four countries, including our hub in Poland. Every conversation, coaching session, and line of code brings us closer to a healthier future.
Our journey is accelerating: In 2026, we secured €200 million in Series D funding led by Kinnevik and a group of leading global investors. This investment fuels our next phase of growth, allowing us to scale our AI-enabled chronic care platform across Europe and expand our support to even more people living with chronic conditions.
Join us, and be part of the team making that future possible!
We are looking for a Staff Data Engineer to join our Data Platform team and help shape how we collect, model, and serve data across our entire organization. In this role, you will take ownership of building reliable, scalable data systems from source ingestion through to end-to-end data products.
- Strong experience: Extensive background in professional data engineering with a proven track record of designing end-to-end data systems.
- Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt).
- Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster.
- Strong communicator: Skilled at writing clear technical specifications and explaining complex trade-offs to both technical and non-technical colleagues.
- Growth mindset: Open to feedback, curious to learn, and driven to make an impact.
- Architect and build data systems: Design and implement scalable data pipelines, transformation layers, and data products with clear documentation.
- Drive technical quality: Define best practices for testing, data modeling, CI/CD pipelines, and data quality frameworks.
- Lead cross-functional initiatives: Collaborate with analytics, data science, and product engineering to translate business goals into sound technical designs.
- Ensure reliability & performance: Proactively monitor pipeline health and optimize data infrastructure so our teams can depend on trustworthy data.
- Empower the team: Support team growth through code reviews, technical pairing, and sharing knowledge