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 We offer Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification

Language courses EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country.

Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously. Why Join EPAM

WORK AND LIFE BALANCE. Enjoy more of your personal time with versátil work options, 24 working days of annual leave and paid time off for numerous public holidays.

CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.

CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.

STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

📌 Senior Data Engineer (Madrid)
🏢 Epam Systems
📍 Madrid