Senior Data Engineer pro Data CoE
Summary
Senior Data Engineer to lead a Databricks migration, defining architecture, DevOps, and data governance standards while guiding teams on best practices for efficiency and scalability.
Hybrid
Lokace: Praha, Stodůlky
Jazyk: ČJ, AJ technická na velmi dobré úrovni
Level: senior
Forma spolupráce: IČO
Nástup: Září 2026
Alokace: full-time, HO 50:50 (2+3 a 3+2)
Délka spolupráce: alespoň jeden rok
In Data CoE, we are seeking a senior consultant to support our migration to Databricks as a hands-on expert advisor. The consultant will support internal teams by helping to shape and define architecture-related decisions, DevOps and data management cycle standards and best practices, and clarify options with their consequences with emphasis on efficiency and migration time constraints
What will you do?
- Databricks architecture and engineering patterns,
- practical guidance on how to structure workloads, delivery patterns, standards and reusable technical approaches in Databricks.
- Governance/data management lifecycle
- Metadata management, tagging, dictionaries, catalogs, Unity Catalog setup, native options
- Data quality / DQMS approach help evaluate options for data quality management, including native Databricks monitoring/profiling capabilities, process implications, and possible hybrid approaches.
- Airflow and orchestration
- advice on orchestration options and trade-offs, including how Airflow can be used with Databricks jobs + best practices/standards
- DevOps setup
- support in defining practical approaches in terms of CICD, metadata/template driven approach, monitoring and ops, connection to dictionaries and catalogs (incl. tools)
- standards and conventions — support in defining basic standards such as naming conventions, repository structure, deployment principles, and selected governance guardrails.
The proposed consultant should have:
- Strong hands-on Databricks experience in real delivery environments
- Practical experience with Airflow orchestration in combination with Databricks
- Strong CI/CD experience for Databricks, including Git-based development, testing, deployment automation, operations
- Experience with data quality / monitoring / DQ frameworks, ideally in Databricks or similar modern data platforms.
- Ability to provide practical recommendations, alternatives, and consequences of choices
- Ability to work in a supporting, collaborative mode