Strong hands-on experience with Databricks and Apache Spark.
Advanced knowledge of PySpark, Python, and SQL.
Knowledge of ETL tools.
Experience working with Azure, AWS, or GCP.
Familiarity with Git, CI/CD, testing, and modern software engineering practices.
Ability to read code and understand the ETL processes.
Experience with batch and streaming data pipelines.
Good communication in English is a must.
Team player, able to lead and drive the topics in the team.
EU work permit.
For our fast‑growing Cloud & Engineering practice in Central Europe we are looking for Databricks Data Engineers to join our team. The candidate will be part of a larger team with various experience levels, responsible for delivering a new data platform.
The primary goal is to build a highly scalable and secure platform that will replace the currently used Data Warehouse and ETL/ELT pipelines. The platform will integrate data from multiple sources, including high‑volume streaming data. The implementation process will include business and functional analysis, platform architecture design, data model design, platform and ELT process implementation, as well as data migration and testing. ✨
What we offer:
Flexible working hours ⏰
Permanent employment or contract
Medical and health insurance
Multisport and other lifestyle benefits ️♂️
Language courses ️
Friendly coworkers & team spirit
Multiple geographies and clients
Work for well‑known brands ⭐
Exposure to trailblazing business and technology projects
A place in the first line of a digital transformation ⚡
Everyday opportunities to influence how and where we do our business
A development path to fit your needs ✨
,[Must have experience with:, Data integration / Data migration practices., Support and extend the existing data ingestion and transformation pipelines., Transfer data from data warehouse and SQL database to Databricks., Design and implement Bronze / Silver / Gold data layers., Resolve challenges related to replication and permission constraints., Work with CDC (Change Data Capture) integration patterns., Support and optimize Databricks data models and transformations.] Requirements: Cloud, Databricks, Data warehouse, Data migration, Testing, Apache Spark, PySpark, Python, SQL, Azure, AWS, GCP, Git, CD
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