Data Engineer

• Assist in designing, building, and maintaining efficient data pipelines
• Work on data modeling tasks to support the creation and maintenance of data warehouses
• Integrate data from multiple sources, ensuring data consistency and reliability
• Collaborate in implementing and managing data orchestration processes and tools
• Help establish monitoring systems to maintain high standards of data quality and availability
• Work closely with the Data Architect, Senior Data Engineers, and other members across the organization on various data infrastructure projects
• Participate in the optimization of data processes, seeking opportunities to enhance system performance

• A university degree, ideally in Computer Science or related science, technology or engineering field
• 2+ years of relevant work experience in data engineering roles
• Experience in data acquisition, laking, warehousing, modeling, and orchestration
• Proficiency in SQL (including window functions and CTE)
• Proficiency in RDBMS (e.g., MySQL, PostgreSQL)
• Strong programming skills in Python (with libraries like Polars, optionally Arrow / PyArrow API)
• First exposure to OLAP query engines (e.g., Clickhouse, DuckDB, Apache Spark)
• Familiarity with Apache Airflow (or similar tools like Dagster or Prefect)
• Strong teamwork and communication skills
• Ability to work independently and manage your time effectively
• Comfortable working in a diverse, international environment

• Knowledge of common columnar file formats used in data applications
• Knowledge in data partitioning and incremental scalability
• Knowledge in data quality and data governance
• Experience in entity disambiguation
• Familiarity with orchestration and containerization technologies (e.g., Docker, Kubernetes)
• Knowledge of Linux (Ubuntu/Debian)
• Experience with Git and Atlassian tools (Jira, Confluence)
• Understanding of dbt
• Understanding of graph databases (e.g., neo4j)

Competitive salary and benefits package