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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 postingDevelop and optimize complex SQL transformations for analytics and regulatory reporting
Build and maintain SQL-centric ETL/ELT data pipelines
Implement data quality checks, validation rules, and SQL testing
Work with and extend enterprise data models (Data Vault, dimensional, 3NF)
Ensure monitoring and reliable operation of data workflows
From the employer’s posting
Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needs
Build and maintain SQL centric ETL/ELT data pipelines
Implement and maintain data quality checks, validation rules, and SQL testing
Work with and contribute to existing enterprise data models (Data Vault, dimensional, 3NF, domain driven structures)
Ensure monitoring, observability, and reliable operation of data workflows
What you’ll bring
All qualificationsCore experience
- 5+ years in data engineering or SQL-heavy backend roles
- Expert-level SQL (complex queries, tuning, optimization)
- Experience with and extending established data models (Data Vault, dimensional, SCD, 3NF)
- Bachelor's or Master's degree in a relevant field
- Fluent English, written and spoken
Qualification wording
5+ years in data engineering or SQL heavy backend roles
Expert level SQL (complex queries, tuning, optimization)
Experience working with and extending established data models (Data Vault, dimensional, SCD, 3NF)
Bachelor’s or Master’s degree in a relevant field
English: fluent (written and spoken)
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
- Oct 22, 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.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Power BI
- Tableau
Where the posting names them
A Senior Data Engineer brings deep expertise in SQL development, data modeling, and stakeholder collaboration to deliver high-quality, reliable, and business-critical datasets. The role centers on building and optimizing SQL-driven data transformations, supporting analytical, operational, and regulatory reporting needs. Experience in banking or financial environments is a strong advantage. Python knowledge and BI tool experience (e.g., Tableau, Power BI) are valuable pluses that support automation, data preparation, and efficient analytics delivery. Responsibilities Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needs Work with and contribute to existing enterprise data models (Data Vault, dimensional, 3NF, domain driven structures) Ensure SQL logic is performant, maintainable, and aligned with modelling standards Implement and maintain data quality checks, validation rules, and SQL testing Maintain clear documentation, lineage, and metadata to support transparency and governance Support reduction of architectural debt and help maintain a clean, consistent data environment Build and maintain SQL centric ETL/ELT data pipelines Use Python where beneficial for automation, API integration, or workflow efficiency Implement ingestion patterns for batch, incremental, and near real time data flows Ensure monitoring, observability, and reliable operation of data workflows Partner with finance, risk, compliance, and business teams to translate requirements into high quality data solutions Work closely with data architects to ensure alignment with modelling standards Support troubleshooting across ingestion, modelling, and operational processes Contribute to platform evolution, engineering improvements, and roadmap initiatives Communicate effectively with both technical and business stakeholders Collaborate with platform and infrastructure teams to operate SQL workloads reliably in production Apply engineering best practices: version control, documentation, testing, code quality Requirements Bachelor’s or Master’s degree in a relevant field 5+ years in data engineering or SQL heavy backend roles Proven experience working with structured enterprise data models Experience in finance or banking is a strong advantage Expert level SQL (complex queries, tuning, optimization) Experience working with and extending established data models (Data Vault, dimensional, SCD, 3NF) Strong experience developing scalable SQL driven transformations Python is a strong plus for automation, API integrations, and workflow enhancement Experience with Tableau, Power BI, or other BI tools is a strong plus Experience working in banking, financial services, or regulated environments is a strong advantage Commitment to building reliable, maintainable, and well tested data solutions Strong focus on quality, monitoring, reliability, and automation Ownership mentality across the data lifecycle Ability to refine requirements and collaborate with technical and business teams Creative, proactive, and improvement oriented approach Strong communication and stakeholder engagement abilities Analytical, detail oriented, and proactive problem solver Comfortable in agile, iterative delivery environments English: fluent (written and spoken) German and/or French: nice-to-have Nice to have Experience with Temenos T24/Transact, Temenos Triple'A, or similar core banking platforms
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
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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
A Senior Data Engineer brings deep expertise in SQL development, data modeling, and stakeholder collaboration to deliver high-quality, reliable, and business-critical datasets. The role centers on building and optimizing SQL-driven data transformations, supporting analytical, operational, and regulatory reporting needs. Experience in banking or financial environments is a strong advantage. Python knowledge and BI tool experience (e.g., Tableau, Power BI) are valuable pluses that support automation, data preparation, and efficient analytics delivery. Responsibilities Develop and optimize complex SQL transformations supporting analytics, reporting, and financial/regulatory needs Work with and contribute to existing enterprise data models (Data Vault, dimensional, 3NF, domain driven structures) Ensure SQL logic is performant, maintainable, and aligned with modelling standards Implement and maintain data quality checks, validation rules, and SQL testing Maintain clear documentation, lineage, and metadata to support transparency and governance Support reduction of architectural debt and help maintain a clean, consistent data environment Build and maintain SQL centric ETL/ELT data pipelines Use Python where beneficial for automation, API integration, or workflow efficiency Implement ingestion patterns for batch, incremental, and near real time data flows Ensure monitoring, observability, and reliable operation of data workflows Partner with finance, risk, compliance, and business teams to translate requirements into high quality data solutions Work closely with data architects to ensure alignment with modelling standards Support troubleshooting across ingestion, modelling, and operational processes Contribute to platform evolution, engineering improvements, and roadmap initiatives Communicate effectively with both technical and business stakeholders Collaborate with platform and infrastructure teams to operate SQL workloads reliably in production Apply engineering best practices: version control, documentation, testing, code quality Requirements Bachelor’s or Master’s degree in a relevant field 5+ years in data engineering or SQL heavy backend roles Proven experience working with structured enterprise data models Experience in finance or banking is a strong advantage Expert level SQL (complex queries, tuning, optimization) Experience working with and extending established data models (Data Vault, dimensional, SCD, 3NF) Strong experience developing scalable SQL driven transformations Python is a strong plus for automation, API integrations, and workflow enhancement Experience with Tableau, Power BI, or other BI tools is a strong plus Experience working in banking, financial services, or regulated environments is a strong advantage Commitment to building reliable, maintainable, and well tested data solutions Strong focus on quality, monitoring, reliability, and automation Ownership mentality across the data lifecycle Ability to refine requirements and collaborate with technical and business teams Creative, proactive, and improvement oriented approach Strong communication and stakeholder engagement abilities Analytical, detail oriented, and proactive problem solver Comfortable in agile, iterative delivery environments English: fluent (written and spoken) German and/or French: nice-to-have Nice to have Experience with Temenos T24/Transact, Temenos Triple'A, or similar core banking platforms
Source details
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- Location & working pattern
Spain
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