> Djinni
Data Engineer
icebergkafkadebeziumaws s3bigquerydatabrickssnowflakeany one ofbigquerysqldata modelingpythonairflowdagsterany one ofairflow
> full description
Office in Krakow!
We’re looking for a Data Engineer to build scalable data infrastructure for a next-generation transactional platform designed to handle millions of concurrent users.
You’ll help build a greenfield lakehouse, develop reliable streaming and CDC pipelines, and ensure data quality, integrity, and performance at scale.
What you’ll do:
- Build lakehouse architecture using Iceberg, Delta, or similar technologies.
- Develop streaming and CDC pipelines with Kafka and Debezium.
- Optimize data storage, partitioning, and query performance.
- Implement data quality monitoring, governance, and data protection.
- Support data migration and ensure reliable data processing.
What we’re looking for:
- 3+ years of Data Engineering experience.
- Hands-on experience with AWS S3 or similar object storage and Snowflake, Databricks, or BigQuery.
- Experience with Iceberg, Delta, or Hudi.
- Knowledge of Kafka, CDC pipelines, and streaming data.
- Strong SQL, data modeling, and Python skills.
- Familiarity with Airflow, Dagster, and data governance practices.
- Ability to work independently and take ownership.
Nice to have: Experience with financial or transactional data, regulated environments, or greenfield data platforms.