Our client is an internation AdTech company in Limassol is looking for a Data Engineer.
Responsibilities:
- Take ownership on production data: Design, build, and maintain scalable data pipelines to acquire and process data from multiple sources.
- Work with OLAP databases and data lakes to store and query high-volume data efficiently.
- Ensure data quality, integrity, and reliability across distributed systems.
- Collaborate with Data Scientists, Analysts, and Backend Engineers to make raw data accessible and usable.
- Monitor system performance, troubleshoot issues, and improve data infrastructure for scalability and cost efficiency
Requirements:
- 3–5+ years of experience as a Data Engineer (or similar role) working with large-scale data systems.
- Experience with Apache Spark or a similar distributed data processing framework.
- Knowledge of Apache Iceberg or a similar data lakehouse table format.
- Experience with SQL and at least one specialized OLAP database for large-scale analytics (e.g., Starrocks, ClickHouse, Druid, BigQuery).
- Experience working with geographic data systems (e.g., H3 index, Geohash, or similar spatial indexing) is a big plus.
- Strong problem-solving skills and the ability to work in fast-moving, high-volume data environments.
Nice to Have
- Experience in the AdTech ecosystem (DSPs, SSPs, RTB, programmatic advertising).
- Knowledge of data lake architectures (Delta Lake, Iceberg, Hudi).
- Hands-on expertise with Apache Kafka (producers, consumers, partitions, scaling).
- Solid experience in building ETL/ELT pipelines (streaming and batch).
- Strong proficiency with Python, Java, or Scala for data processing.
- Familiarity with cloud environments (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Contributions to open-source big data projects.
Working hours:
- The working days are Monday – Friday, 9am-6pm with an hour off (onsite job for people located in Limassol, for candidates located in Paphos, Nicosia, etc. hybrid working can be discussed).
To apply:
Please send your CV to StaffMatters at admin@smstaffmatters.com and mention that you are applying for the vacancy of Data Engineer with reference number 3847.
Or you can apply directly through your candidate login by hitting the APPLY button.
