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Senior Data Engineer

🕒 7 days ago
Data EngineeringData ArchitectureETL ProcessesData Pipelines

📜 Description

  • Lead design discussions around data architecture, modeling strategy, and platform evolution.
  • Identify opportunities to simplify and scale the data platform.
  • Drive improvements to data reliability, observability, and data quality.
  • Establish and promote best practices for data modeling, testing, and code review.
  • Develop and optimize ETL processes.
  • Mentor other data engineers.

🛠️ Requirements

  • 7+ years of data engineering experience.
  • Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.).
  • Strong experience designing and building data pipelines and data platforms.
  • Cloud infrastructure experience (AWS preferred).
  • Advanced Python & SQL skills.
  • Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.).
  • Experience with event or streaming systems (Kafka or similar).
  • Bachelor's degree or higher in a technical field (or similar combination of education and experience).

Benefits

  • Performance bonus opportunities and employee referral rewards
  • Flexible Time Off (FTO) and 13 paid public holidays aligned with the Czech calendar
  • Paid sick leave with additional support through the Czech social security system
  • Parental leave in line with Czech regulations
  • Plus additional paid paternity leave from 8am
  • Public health insurance
  • Pension
  • Access to Coursera (including Gen AI Academy) and ongoing professional development
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