Senior Data Engineer
Ostrava, Czech Republic
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign, develop and automate scalable batch and real-time data pipelines
Build ingestion processes, ETL pipelines, datamarts and Data Lake solutions
Ensure data quality and performance through monitoring and automation
Support the migration to the new data platform
Mentor junior Data Engineers and help set engineering standards
From the employer’s posting
Design, develop and automate scalable data pipelines for batch and real-time processing
Build and optimize modern data ingestion processes, ETL pipelines, datamarts and Data Lake solutions
Ensure data quality, availability and performance through monitoring, automation and proven Data Engineering practices
Support the migration to new data platform
Support and mentor Junior Data Engineers while contributing to the development of Data Engineering standards and best practices
What you’ll bring
All qualificationsCore experience
- Experience in data engineering, building and running modern data pipelines
- Hands-on experience with ETL and batch and real-time data processing
- Experience with Microsoft Azure and Databricks
- Knowledge of Data Lakes, datamarts and modern data architectures
- Fluent English
Preferred experience
- German language skills
Qualification wording
Experience in Data Engineering, including the development and operation of modern data pipelines
Hands-on experience with ETL processes as well as batch and real-time data processing
Experience with Microsoft Azure and Databricks
Knowledge of Data Lakes, datamarts and modern data architectures
Fluent in English
German language skills are a plus
Tools in this posting
- Azure
- Databricks
Source — Tool mentions in context
What you’ll be doing: Contribute to and help deliver our Data Roadmap, working closely with Data Scientists, Analysts, Business Teams and other Data Teams Design, develop and automate scalable data pipelines for batch and real-time processing Further develop our cloud-based data platform using Microsoft Azure and Databricks Build and optimize modern data ingestion processes, ETL pipelines, datamarts and Data Lake solutions Ensure data quality, availability and performance through monitoring, automation and proven Data Engineering practices Support the migration to new data platform Ensure the reliable operation of existing data solutions and analyze and resolve technical challenges Collaborate closely with local and international Data Teams and actively share knowledge within our Data Community Support and mentor Junior Data Engineers while contributing to the development of Data Engineering standards and best practices What you’ll bring: Experience in Data Engineering, including the development and operation of modern data pipelines Hands-on experience with ETL processes as well as batch and real-time data processing Experience with Microsoft Azure and Databricks Knowledge of Data Lakes, datamarts and modern data architectures A good understanding of data quality, monitoring and the reliable operation of production data solutions An interest in collaborating with Data Scientists, Analysts, Business Teams and international colleagues An independent, solution-oriented way of working and a willingness to take ownership Fluent in English
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 29 days ago
- Recorded sightings
- 129
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Sep 24, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Ostrava, Czech Republic
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