Staff Data Engineer
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Job Description
Staff Data Engineer building scalable data systems for Oviva’s AI-powered chronic care platform. Designing pipelines, data products, and quality frameworks across European healthcare operations.
Responsibilities:
- Join Oviva’s Data Platform team and shape how data is collected, modeled, and served across the organization
- Build reliable, scalable data systems from source ingestion through end-to-end data products
- Design and implement scalable data pipelines, transformation layers, and data products with clear documentation
- Define best practices for testing, data modeling, CI/CD pipelines, and data quality frameworks
- Collaborate with analytics, data science, and product engineering to translate business goals into technical designs
- Monitor pipeline health and optimize data infrastructure for reliability and performance
- Support team growth through code reviews, technical pairing, and knowledge sharing
Requirements:
- Extensive professional data engineering experience with a proven track record of designing end-to-end data systems
- Solid expertise in SQL and Python
- Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift
- Experience with data transformation tools such as dbt
- Practical experience building and operating batch or streaming pipelines
- Experience with orchestration tools such as Airflow, Prefect, or Dagster
- Ability to write clear technical specifications
- Ability to explain complex trade-offs to technical and non-technical colleagues
- Preferred but not required: experience with streaming architectures, infrastructure-as-code, or high-growth health-tech environments
- Eligible to work in the country listed as the role location
Benefits:
- A mission-driven environment focused on making a real-world impact
- High-growth opportunities with a clear path to broader strategic leadership
- Flexible remote/hybrid work culture across the UK, Germany, Switzerland and Poland
- Annual learning & development budget
- Home working allowance
- Flexible working hours
- Competitive compensation and benefits
- Enhanced leave
- Inclusive policies
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