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Data Platform Engineer
DataRemote — The Netherlands, United Kingdom, Spain, Germany
Published on 2026-11-14
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Build and evolve ClickHouse’s internal data warehouse platform, which supports analytics and decision-making across the company. The role focuses on reusable data engineering tools and reliable, high-performance data models for large-scale pipelines.
About the company
ClickHouse is a high-performance columnar database built for real-time analytics on large volumes of data.
The team
Data Warehouse (DWH)
Stack
ClickHousedbtAirflowPythonS3AWSSupersetGitHub Actions
What you'll do
- Develop reusable Airflow components and custom integrations.
- Build dbt macros, ETL building blocks, incremental strategies, and data quality tests.
- Develop DataOps tooling for CI, migrations, and security.
- Design, refactor, and optimize business data models and complex data marts.
- Review code, provide technical guidance, and lead work in areas of the stack.
- Improve automation and development workflows, and help resolve incidents.
What we're looking for
- Exceptional SQL skills.
- Strong hands-on experience with Airflow, dbt, and Python.
- Experience building and optimizing large-scale, high-throughput data pipelines.
- Knowledge of ETL/ELT, dimensional modeling, and data quality.
- Bachelor’s degree in Computer Science or a related field.
- Comfort working in a fast-paced startup environment.
Nice to have
- Hands-on experience with ClickHouse.
- Familiarity with AWS or other cloud platforms.
- CI/CD experience, especially with GitHub Actions.
Benefits
- Employer contributions toward healthcare.
- Equity for eligible new team members.
- Flexible time off in the US and generous time off in other countries.
- USD $500 home office setup allowance for remote employees.
- Opportunities to attend company-wide offsites.