7 publicaciones de empleo destacadas de engineer, python (madrid based) en madrid, md (¡Están contratando!)

Senior Data Engineer
EPAM Systems, Inc. —Madrid, Madrid provincia
- Español
- Azure
- Informática
- Vacaciones pagadas
- Programa de recomendación
Azure Data Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Parking gratuito
- Seguro de vida
Senior Dataiku Specialist
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Inglés
- Oficina
- Vacaciones pagadas
- Programa de recomendación
AI Data Architect (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Engineering Manager
Embat —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- JavaScript
(RD) Senior Engineering Team Lead
Backbase —Madrid, Madrid provincia
- Máster
- Python
Solicitud rápida
Senior SQA Engineer (Python)
Align Technology —Madrid, Madrid provincia
- Jornada completa
- Informática
- Inglés
- Máster
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Senior Data Engineer

EPAM Systems, Inc. -
Madrid, Madrid provincia

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Detalles del empleo

Beneficios

Vacaciones pagadas
Programa de recomendación

Cualificaciones

CI/CD
Español
Azure
Informática
Relational databases
DevOps
Microsoft SQL Server
Máster
Arquitectura de microservicios
SQL
AWS
Respuesta a incidencias
Docker
Grado
APIs
ETL
Escalabilidad
Cloud
GitLab
Python

Descripción completa del empleo

Are you a forward-thinking professional with a strong background in Data Engineering and an interest in financial services? Join as a Senior Data Engineer and help build and evolve enterprise data ecosystems for customers. Design scalable data pipelines, ensure high-quality data flows and integrate complex APIs while collaborating with cross-functional teams to deliver robust and reliable data products.

This is a hybrid role based in Madrid's city center, ideal for those eager to thrive in a dynamic environment and make a significant impact in private banking technology. Join EPAM and contribute to shaping the future of financial services in Spain!

Responsibilities

Design, build and optimize scalable Python-based ETL/ELT pipelines using frameworks such as pandas or Polars
Orchestrate data pipelines using Dagster, Airflow or similar tools
Develop efficient data ingestion pipelines for batch, incremental and streaming scenarios
Integrate with internal and external APIs ensuring robust authentication, error handling and data quality
Implement best-in-class data models including dimensional modelling and domain-driven structures
Manage application lifecycle and reduce architecture debt
Deploy, operate and monitor data pipelines using Docker, Kubernetes and GitLab
Develop and maintain CI/CD pipelines for data workflows and infrastructure components
Collaborate with data scientists, software engineers and platform teams to enhance data services and deployment processes
Support troubleshooting, incident response and participate in architecture discussions

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science or related field
Minimum 5 years of experience in data engineering or backend engineering with a strong data focus
Expert-level Python skills with frameworks such as pandas or Polars
Experience with data orchestration frameworks (Dagster, Airflow or similar)
Strong understanding of data modelling, ETL patterns and performance considerations
Proficiency with Docker, Kubernetes and GitLab CI/CD
Hands-on experience with SQL and relational databases (MS SQL preferred)
Practical experience with Azure data and compute services or comparable AWS/GCP experience
Passion for building robust, maintainable and well-tested data systems
Strong focus on scalability, reliability, data quality and monitoring

Nice to have

Experience in regulated environments such as finance, insurance or healthcare
Certifications in cloud, Kubernetes or DevOps (CKA, AWS/GCP/Azure)
Familiarity with distributed systems, microservices and API-driven architectures
Commitment to automation, reproducibility and DevOps practices
Creativity and new ideas to enhance the platform
Ability to work under pressure and tough deadlines
Strong communication skills and product-thinking mindset
Comfortable working in agile environments
Fluency in Spanish

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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Senior Data Engineer

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