Senior Analytics Engineer
Oviva
Software Engineering, Data Science
Germany
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!
The role:
Are you a technical expert who enjoys bridging the gap between data engineering and business insights? We are looking for a Senior Business Intelligence Analytics Engineer to join our BI team. In this role, you will be a key driver in building a world-class Enterprise Data Model that empowers our teams to make evidence-based decisions. What You Bring
- Deep Technical Experience: At least 4 years of experience in analytics engineering or advanced modelling, with high proficiency in dbt and SQL.
- Modern Data Stack Knowledge: Hands-on experience with cloud-based environments such as BigQuery, Snowflake, or Databricks.
- A Quality-First Mindset: Experience designing data observability solutions and a strong understanding of Git and CI/CD concepts.
- Collaborative Spirit: Excellent stakeholder engagement skills and the ability to thrive in a fast-paced, evolving environment.
- Educational Foundation: A degree in Computer Science, Engineering, Mathematics, or a related field.
- Familiarity with Google Cloud Platform and DevOps best practices.
- Familiarity with BI tools such as Thoughtspot, Looker, Tableau, or Power BI.
- Shape Our Data Strategy: Lead the definition and delivery of our Enterprise Logical Data Model, ensuring it remains the trusted foundation for business-wide data requests.
- Build Scalable Models: Design and maintain central business models focused on essential areas like patient care, lead generation, and programme performance.
- Champion Technical Excellence: Serve as our internal expert for SQL and data modelling (Kimball/Inmon), while driving the adoption of robust testing and data quality frameworks.
- Collaborate Across Teams: Work closely with Data Engineering and Business Intelligence Analysts to translate complex requirements into reliable, high-impact data assets.
- Foster Growth: Mentor colleagues and challenge our existing processes to improve quality, speed, and technical maturity.
