12 publicaciones de empleo destacadas de backend engineer (python) en getafe, md (¡Están contratando!)

Senior Data Engineer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Inglés
- Oficina
- Máster
- Vacaciones pagadas
- Programa de recomendación
10d
Senior data engineer
Frontiers Media —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- SQL
- Plan de pensiones
Solicitud rápida
Senior Full Stack & AI Engineer
SGS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Solicitud rápida
Senior EmbeddedSoftware Engineer
TechBiz Global GmbH —Madrid, Madrid provincia
- Jornada completa
- Informática
- Máster
- C++
Solicitud rápida
QA Engineer (Hybrid)
Thales —Madrid, Madrid provincia
- Jornada completa
- Español
- Oracle
- Inglés
AI Engineer (GenAI & LLMOps), Madrid
WayOps —Madrid, Madrid provincia
- Trabajo híbrido
- Servicio en mesas
- DevOps
- Máster
- Teletrabajo opcional
Product Security Engineer
StackAI —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Máster
- AWS
4d
Software Quality Assurance Engineer
Straumann Group —La Moraleja, Madrid provincia
- Jornada completa
- Azure
- DevOps
- Inglés
Quality Assurance Engineer
SIX Group AG —Madrid, Madrid provincia
- Teletrabajo
- Inglés
- Java
- JavaScript
- Teletrabajo opcional
Java Technical Referent
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Java
- AWS
Solicitud rápida
Senior Full-Stack Developer
InteractiveAI —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- JavaScript
Solicitud rápida
Engineering Manager
Embat —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Inglés
- JavaScript
Solicitud rápida

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Senior Data Engineer

EPAM Systems, Inc. -
Madrid, Madrid provincia

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Detalles del empleo

Hace 10 días

Beneficios

Vacaciones pagadas
Programa de recomendación

Cualificaciones

Francés
Power BI
Microsoft SQL Server
Inglés
Tableau
Máster
SQL
Grado
ETL
Servicios financieros
Python
Alemán

Descripción completa del empleo

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 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.

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backend engineer (python) empleos en getafe, md

Senior Data Engineer

Senior data engineer

Senior Full Stack & AI Engineer

Senior EmbeddedSoftware Engineer

QA Engineer (Hybrid)

AI Engineer (GenAI & LLMOps), Madrid

Product Security Engineer

Software Quality Assurance Engineer

Quality Assurance Engineer

Java Technical Referent

Senior Full-Stack Developer

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