WE ARE LOOKING FOR YOU, IF YOU HAVE:

hands-on experience building complex data pipelines,
experience with Apache Airflow, Spark, Python,
experience in setting up and optimizing both SQL and noSQL data stores (MS-SQL, Hive), as well as familiarity with object storage services (e.g., S3),
experience with deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD).

work with the latest concepts and technologies in the field of Data Engineering,
as an engineer, you will be responsible to design and build the data pipelines for one of many use cases catering various stakeholder requirements,
your day-to-day activities can look like this: implementing new features in Kedro/PySpark, testing them in Apache Airflow, deploying it in our in-house platform running on Kubernetes, as well as optimizing the data in the permanent data store.