Senior Data Engineer (Azure) – End-to-End Pipelines
Proxify
Poland
Remote
PLN 245,959 - 316,233
Full time
14 days+
Application generator
Stand out for this role — generate a tailored resume and cover letter in about a minute.
Get past ATS filters
Benefits offered by this job
Flexible withdrawal options
8-hour working days
Up to 24 flex days off
Career-accelerating positions
Hand-picked opportunities
Job summary
A leading tech recruitment agency is seeking a Senior Data Engineer in Poland with strong expertise in Microsoft Azure. The ideal candidate will have over 5 years of experience in Data Engineering, advanced SQL knowledge, and be proficient in ETL development and data integration. Responsibilities include designing and developing end-to-end data pipelines and collaborating with teams to ensure data quality and governance. The role offers flexible working hours, up to 24 days of paid time off, and predictable project hours.
Qualifications
5+ years in Data Engineering roles.
Complex queries and performance tuning expertise.
Experience managing ETL workflows and data quality.
Responsibilities
Design and develop end-to-end data pipelines using Azure services.
Manage and optimize ETL workflows for data quality.
Collaborate with teams to translate business needs into solutions.
Skills
Advanced SQL knowledge
ETL development
Data integration
Pipeline orchestration
Data modeling principles
Data quality management
Data security best practices
Azure Data Factory
Power BI development
Python
Tools
Azure Synapse Analytics
Azure DevOps
Git
Job description
A leading tech recruitment agency is seeking a Senior Data Engineer in Poland with strong expertise in Microsoft Azure. The ideal candidate will have over 5 years of experience in Data Engineering, advanced SQL knowledge, and be proficient in ETL development and data integration. Responsibilities include designing and developing end-to-end data pipelines and collaborating with teams to ensure data quality and governance. The role offers flexible working hours, up to 24 days of paid time off, and predictable project hours.