Data Engineer (Data Warehouse)
On-siteLimassol, Limassol, Cyprus
Job Summary
Data Engineer at Exness in Limassol, Cyprus, responsible for assembling large, complex datasets and managing data warehousing processes. You will oversee data warehousing changes, develop new integrations and data marts, describe entities and lineage in the data catalog, and collaborate with a large engineering team to improve data reliability, efficiency, and quality through robust data platforms and documentation. The role requires deep DWH design knowledge, strong SQL and relational algebra experience, solid Python skills, and the ability to communicate effectively with stakeholders while mentoring junior engineers. Relocation support is provided for you and your family to move to Cyprus and join the Limassol office.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
- 5+ years of hands-on experience in Data Engineering or related roles
- Solid Python development skills for data services, automation, and platform tooling
- Experience working with production data pipelines and analytical workloads
- Experience implementing data quality checks, monitoring, observability and troubleshooting production data pipelines
- Deep knowledge of primary DWH design methodologies
- Experience working with analytical or transactional databases such as Vertica, PostgreSQL, ClickHouse, Doris, StarRocks or similar systems
- Experience working with multi-terabyte or petabyte-scale analytical systems.
- Expert knowledge of structured query language (SQL) and relational algebra
- Ability to analyze query execution plans and optimize large-scale analytical workloads
- Experience designing and implementing ETL/ELT workflows, including data transformation frameworks such as dbt and orchestration platforms like Apache Airflow or Prefect
- Experience with software development lifecycle, Git workflows, CI/CD and automated testing of data products
- Experience designing and operating event-driven data pipelines using Kafka and related ecosystem tools
- Familiarity with big data stack (trino, spark, iceberg, s3)
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