Data Engineer

About the role

Build and maintain data pipelines that power gaming analytics, handling real‑time streaming data and ensuring high data quality for millions of gaming events.

Key responsibilities

• Design, develop and maintain scalable data pipelines and ETL/ELT processes.
• Process real‑time gaming events using streaming platforms.
• Optimize data warehouse performance and ensure data reliability.
• Collaborate with data analysts to translate requirements into data solutions.
• Implement data governance and monitor pipeline performance.

Required profile

• 4+ years of data engineering experience.
• Strong SQL and Python proficiency.
• Experience with cloud platforms (AWS or GCP) and data warehouses such as Snowflake, BigQuery or Redshift.
• Knowledge of streaming technologies like Kafka or Kinesis.
• Familiarity with ETL orchestration tools (Airflow, dbt).

Required skills

• SQL
• Python
• Snowflake
• BigQuery
• Redshift
• Kafka
• Kinesis
• Airflow
• dbt
• AWS
• GCP

What we offer

• Salary €35,000 – €48,000 per year.
• Hybrid work model (3 days office).
• Health insurance.
• Opportunity to work with a modern data stack.
• Career growth and professional development.