About the Position

We are seeking a skilled Data Engineer to develop and optimize a Lakehouse platform on Databricks for an international client. Experience with Delta Lake, Apache Spark, and Python is required.

Responsibilities

Development and optimization of a production Lakehouse platform on Databricks at enterprise scale for an international client
Working in an international team focused on large-scale data processing, process automation, and solving advanced analytical challenges using Delta Lake, Apache Spark, and Python
Design and development of data integrations, CI/CD pipelines, and performance and cost optimization for end-to-end data solutions
Option to work fully remote (for candidates based in the Czech Republic, a hybrid model with 2 days onsite in Prague is available, allowing involvement in other local projects)

Requirements

Advanced experience with:
- Databricks and Delta Lake
- Apache Spark (development of data transformations and integrations)
Experience with:
- Python and SQL at an advanced level
- Cloud platforms (Azure, AWS, or GCP)
- Git version control and CI/CD processes
Advanced knowledge of:
- English (C1/B2) for day-to-day communication in an international team

Nice to Have

Optimization of parallel data processing and performance tuning on Delta Lake
Data warehousing (DWH), SCD2, CDC, Data Quality, and BI

We Offer

Fully remote work option (hybrid model available for candidates based in the Czech Republic)
Involvement in other local projects in Prague

About the Company

The Workly s.r.o.

4D CENTER, Kodaňská 1441/46,

101 00, Praha 10.

Contact:

[email protected]

420 775 371 991

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Data Engineer

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