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Senior Data Engineer
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign and create data models in Azure Databricks
Build and maintain data pipelines in Azure Data Factory
Replace Excel-managed data with more robust pipeline solutions
Integrate multiple data assets for analytical dashboards
Ensure data quality and integrity throughout pipelines
From the employer’s posting
Design and create data models in Azure DataBricks
Build and maintain data pipelines in Azure Data Factory
Replace data currently managed in Excel files with more robust data pipeline solutions
Collaborate with team members to integrate multiple data assets for analytical dashboards
Ensure data quality and integrity throughout data pipelines
What you’ll bring
All qualificationsCore experience
- 3+ years of experience in data integration
- Proven experience with Azure, SQL and Databricks
- Strong background building and maintaining data pipelines
- Experience with sales analytics
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
Qualification wording
3+ years of relevant experience in Data Integration
Proven experience with Azure, SQL and Databricks
Strong background in developing and maintaining data pipelines
Experience with sales analytics
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Tools in this posting
- SQL
- Azure
- Databricks
Source — Tool mentions in context
We are seeking an experienced Senior Data Engineer to join our team in developing and maintaining data model and data pipeline solutions to support analytical dashboards that integrate multiple data assets. The ideal candidate will have strong experience with Azure, Databricks, and SQL. You will be working alongside a team of 2 Backend Developers, a Frontend Developer, and a Technical Product Owner. Responsibilities Design and create data models in Azure DataBricks Build and maintain data pipelines in Azure Data Factory Replace data currently managed in Excel files with more robust data pipeline solutions Collaborate with team members to integrate multiple data assets for analytical dashboards Ensure data quality and integrity throughout data pipelines Optimize data retrieval and data processing performance Implement data security and privacy policies Provide technical guidance and mentorship to junior engineers Troubleshoot and resolve any data-related issues Stay updated with industry trends and best practices in data engineering Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 3+ years of relevant experience in Data Integration Proven experience with Azure, SQL and Databricks Strong background in developing and maintaining data pipelines Experience with sales analytics Excellent problem-solving and analytical skills Fluent English communication skills at a B2+ level
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Has EPAM Systems posted this job before?
Yes. We’ve followed 24 other Senior Data Engineer jobs there since November 2026. All 24 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Job description
We are seeking an experienced Senior Data Engineer to join our team in developing and maintaining data model and data pipeline solutions to support analytical dashboards that integrate multiple data assets. The ideal candidate will have strong experience with Azure, Databricks, and SQL. You will be working alongside a team of 2 Backend Developers, a Frontend Developer, and a Technical Product Owner. Responsibilities Design and create data models in Azure DataBricks Build and maintain data pipelines in Azure Data Factory Replace data currently managed in Excel files with more robust data pipeline solutions Collaborate with team members to integrate multiple data assets for analytical dashboards Ensure data quality and integrity throughout data pipelines Optimize data retrieval and data processing performance Implement data security and privacy policies Provide technical guidance and mentorship to junior engineers Troubleshoot and resolve any data-related issues Stay updated with industry trends and best practices in data engineering Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 3+ years of relevant experience in Data Integration Proven experience with Azure, SQL and Databricks Strong background in developing and maintaining data pipelines Experience with sales analytics Excellent problem-solving and analytical skills Fluent English communication skills at a B2+ level
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Ukraine
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- Work authorization
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