Data Engineer
Statista
About the role
About The Role
Join a growing data team and take ownership of our tracking data infrastructure, which captures millions of user events across our web platform every day.
You will focus on operating, improving, and scaling existing data systems, ensuring data is reliable, cost-efficient, and accessible for analytics teams.
This is a hands-on role with strong ownership and visibility across engineering and analytics.
What You’ll Do
- Own and manage tracking data pipelines and infrastructure (event data, web tracking)
- Ensure data quality, governance, and cost control (e.g. retention, storage optimization)
- Build and optimize ELT pipelines using Python and SQL
- Improve data ingestion and orchestration (Airflow, Prefect, APIs, S3, Iceberg, databases)
- Support the shift toward streaming and modern analytics use cases
- Collaborate with engineering teams (data producers) and analytics teams (data consumers)
- Enable internal users by making data reliable, well-documented, and easy to use
Your profile
- Experience in data engineering within cloud environments (AWS preferred)
- Strong skills in Python and SQL
- Hands-on experience with data pipelines, orchestration tools (Airflow, Prefect), and APIs
- Familiarity with large-scale data systems and event-based data (tracking, logs, or similar)
- Experience with Snowflake (or similar DWH)
- Knowledge of infrastructure as code (Terraform) and CI/CD (GitHub Actions)
- Understanding of data architecture, testing, and best practices
- Bonus: experience with DBT, streaming tools, or BI tools
What Success Looks Like
- You take ownership of a high-volume data domain and keep it stable and scalable
- You improve data reliability, usability, and cost efficiency
- You collaborate effectively with both technical and non-technical stakeholders
- You bring structure to evolving systems while staying flexible in a dynamic environment
What We Offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
- Work from abroad up to 30 calendar days a year
- Hybrid work and flex-time
- International team and social events
- Subsidized urban mobility and access to fitness and wellness options
- Free access to Langdock and all its amazing functionalities
- Career & training opportunities
- Attractive locations and modern offices
- Mental health support with OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Skills
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