Hybrid Senior Data Engineer — Madrid, Scalable Pipelines

EPAM Systems; Madrid; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification

Language courses

Job summary

EPAM Systems in Madrid is seeking a Senior Data Engineer to design scalable data pipelines, manage data quality and integrate APIs, collaborating across teams to deliver robust data products.

This hybrid role in Madrid city center offers exposure to private banking tech, modern tooling like Docker, Kubernetes, Airflow, and a culture focused on learning and career growth. The ideal candidate has 5+ years in data/backend with Python, data modeling, and cloud data services.

Qualifications

• Bachelor's or master's degree in CS/Engineering or related field.
• 5+ years of experience in data engineering or backend with data focus.
• Expert-level Python with Pandas or Polars.
• Experience with data orchestration frameworks (Dagster, Airflow).
• Strong data modelling, ETL patterns and performance considerations.
• Proficiency with Docker, Kubernetes and GitLab CI/CD.
• Hands-on SQL with relational databases (MS SQL preferred).
• Cloud data/compute services (Azure, AWS or GCP).
• Commitment to robust, well-tested data systems.

Responsibilities

• Design, build and optimize scalable Python-based ETL/ELT pipelines.
• Orchestrate data pipelines using Dagster, Airflow or similar tools.
• Develop data ingestion pipelines for batch, incremental and streaming data.
• Integrate with internal and external APIs with robust auth and data quality.
• Implement dimensional modelling and domain-driven data models.
• Manage application lifecycle and reduce architecture debt.
• Deploy and monitor pipelines using Docker, Kubernetes and GitLab.
• Develop CI/CD pipelines for data workflows and infra components.
• Collaborate with data scientists, software engineers and platform teams.
• Support troubleshooting and incident response; participate in architecture discussions.

Skills

Python

Data modeling

ETL/ELT

SQL

Docker/Kubernetes

Airflow/Dagster

CI/CD

Education

Bachelor's or Master's in CS/Engineering

Tools

Dagster

Airflow

Polars/Pandas

GitLab

Docker

Kubernetes

Job description

EPAM Systems in Madrid is seeking a Senior Data Engineer to design scalable data pipelines, manage data quality and integrate APIs, collaborating across teams to deliver robust data products.

This hybrid role in Madrid city center offers exposure to private banking tech, modern tooling like Docker, Kubernetes, Airflow, and a culture focused on learning and career growth. The ideal candidate has 5+ years in data/backend with Python, data modeling, and cloud data services.