Build and operate reliable analytics-ready data systems powering decision-making.
Contribute to key data pipelines and evolve the data platform for scalability.
Partner with analytics stakeholders to deliver data products used by teams.
Hands-on development of scalable data components and applications.
Mentor engineers and uphold standards for engineering and ops.
Create documentation for code, libraries, and components to enable collaboration.

🎯 Requirements

4+ years in data engineering or related roles.
Strong Python for production data pipelines.
Experience integrating data from external APIs.
SQL skills; data modeling for analytics; data warehouses.
Airflow and dbt, with analytics teams.
GCP or equivalent cloud; CI/CD with GitHub.

🎁 Benefits

Insurance or country subsidies.
Unlimited PTO with guidance.
Company-paid holidays.
Last week of year officially off.
Access to free data skills training.
Culture that empowers and embraces diversity.

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