Senior Databricks Engineer

Skills & requirements:

• 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