Job Description
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
WEB
- title=Senior Data Engineer pro Data CoE
- job=other
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
