Senior Data Engineer (Python/Tableau)

EPAM Systems, Inc.; Madrid; Híbrido; EUR 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification

Language courses

Descripción de la vacante

EPAM Systems, Inc. in Madrid, Spain is seeking a Senior Data Engineer (Python/Tableau) to design and optimize SQL-driven data transformations and develop scalable ETL/ELT pipelines.

You will collaborate with finance, risk and compliance teams to ensure data quality and governance in a hybrid work environment. The role emphasizes data modeling (Data Vault, dimensional, 3NF), BI tooling integration (Tableau/Power BI) and automation using Python, with CI/CD and version control practices across

Formación

• 5+ years of experience in SQL-centric data engineering or backend roles.

Responsabilidades

• Develop and optimize SQL transformations for analytics and reporting.
• Build and operate SQL-driven ETL/ELT pipelines with reliability.
• Use Python for automation and API integrations.
• Structure datasets for BI consumption and governance.

Conocimientos

SQL development

Data Modeling (Data Vault, Dimensional

3NF

Python for automation

BI tooling (Tableau, Power BI)

Data quality & testing

CI/CD & version control

Stakeholder collaboration

English communication

Educación

Bachelor's or Master's in Computer Science / Information Systems

Herramientas

Tableau

Power BI

Temenos T24/Transact

Temenos Triple’A

Git/CI-CD tooling

Descripción del empleo

We're looking for a Senior Data Engineer (Python/Tableau) to join our team in Madrid, Spain in a hybrid working mode. In this role, you will design and optimize SQL-driven data transformations, develop scalable ETL/ELT pipelines, and contribute to enterprise data models supporting analytical, financial and regulatory reporting.This position provides an opportunity to work in a dynamic financial environment, partnering with cross-functional teams to deliver clean, reliable datasets while leveraging automation, BI optimization and engineering best practices for high-impact business intelligence enablement.ResponsibilitiesDevelop and optimize complex SQL transformations to support analytics and reportingDesign and extend enterprise data models (Data Vault, dimensional, 3NF) and maintain standardsImplement data quality checks, validation logic and SQL testing frameworksBuild and operate SQL-centric ETL/ELT pipelines, applying optimization and reliability principlesUse Python for automation, API integrations and workflow enhancementStructure datasets for consumption in BI tools (Tableau, Power BI), assisting with performance and governancePartner with business stakeholders in finance, risk and compliance to translate requirements into data solutionsEnsure monitoring, observability and operational stability of pipelines in production environmentsFollow engineering best practices including version control, documentation and CI/CD integrationContribute to platform improvement, performance tuning, and architectural roadmap initiativesRequirementsBachelor’s/Master’s degree in Computer Science, Information Systems or related fieldMinimum 5+ years of experience in SQL-centric data engineering or backend rolesExpert-level experience in SQL development including query optimization and tuningStrong background in data modelling techniques: Data Vault, dimensional, SCD and 3NFHands-on experience in building SQL-driven transformations and scalable data solutionsPractical knowledge of Python for automation and integration tasksFamiliarity with BI tools such as Tableau or Power BI for backend enablementExperience working in banking or financial environments and regulated domains is highly desirableStrong focus on data quality, reliability and maintainable solutionsExcellent problem-solving, requirements refinement and stakeholder collaboration skillsHands-on experience with engineering best practices: version control, code quality and CI/CDFluent English communication (written and spoken)Nice to haveFamiliarity with Temenos T24/Transact, Temenos Triple’A or similar core banking systemsExposure to observability tools, data governance frameworks and automation for data opsExperience in performance optimization and support for complex BI environmentsWe offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage coursesEPAM 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 EPAMWORK AND LIFE BALANCE. Enjoy more of your personal time with flexible 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.