Design, build and optimize batch/streaming data pipelines with Python, Spark, Clickhouse.
Develop and operate Airflow workflows to schedule and monitor data pipelines.
Manage, model and document data systems for analytics using SQL and dbt.
Implement IaC (Terraform) to provision cloud data platform components.
Containerize and deploy services with Docker and Kubernetes.
Collaborate with analysts and teams to translate requirements into designs.

🎯 Requirements

4+ years building and running production data pipelines
Python - strong, idiomatic, tested
SQL - advanced (window functions, CTEs)
dbt - building, testing, documenting models
Apache Airflow - authoring DAGs
AWS - hands-on with S3 and data services (Athena, Kinesis, EKS, Lambda)

🎁 Benefits

Internal mobility opportunities
Supportive, diverse team
32 days paid vacation plus your birthday off
Flexible hybrid working scheme
Learning budget and internal training
Mental health coaching

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