Staff Data Engineer — Scalable AI Health Data Platform

Oviva; Germany (OH); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual learning & development budget

Home working allowance

Flexible working hours

Competitive compensation & benefits

Job summary

Oviva is seeking a Staff Data Engineer to join the Data Platform team and shape how we collect, model, and serve data across the organization. You will own reliable, scalable data systems from source ingestion through to end-to-end data products.

Preferred experience includes streaming architectures, infrastructure-as-code, and high-growth health-tech environments. Strong SQL/Python skills and cloud data warehouse expertise are essential for this role.

Qualifications

• Extensive background in professional data engineering with end-to-end data systems.
• SQL and Python expertise; experience with cloud data warehouses and dbt.
• Experience building batch or streaming pipelines with Airflow/Prefect/Dagster.
• Strong communication; ability to explain trade-offs to technical and non-technical colleagues.
• Growth mindset; open to feedback and learning.

Responsibilities

• Own data ingestion to end-to-end data products.
• Design, build and maintain scalable data pipelines.
• Collaborate with analytics, data science and product engineering.
• Define data quality and testing practices; CI/CD for data.

Skills

SQL

Python

BigQuery

Snowflake

Redshift

dbt

Airflow

Dagster

Prefect

Data pipelines

Data modeling

Data quality

Documentation

CI/CD

Cross-functional collaboration

Tools

dbt

Airflow

Dagster

Prefect

Job description

Oviva is seeking a Staff Data Engineer to join the Data Platform team and shape how we collect, model, and serve data across the organization. You will own reliable, scalable data systems from source ingestion through to end-to-end data products.

Preferred experience includes streaming architectures, infrastructure-as-code, and high-growth health-tech environments. Strong SQL/Python skills and cloud data warehouse expertise are essential for this role.