Data Engineer (Airflow, AWS)

Empowering people. Unlocking innovation.

With 1,000+ professionals and over a decade of experience, we've built an environment where talent is trusted, supported and continuously challenged to grow.

People-first culture built on trust and real proximity.

Stable environment with turnover clearly below industry average.

International, high-impact projects powered by modern tech stacks.

€1,200 annual training budget per employee.

Real flexibility, not just a promise.

Continuous feedback culture with monthly follow-ups and annual 360º reviews.

Private health insurance, flexible compensation and Wellhub.

Active tech communities where knowledge is shared and innovation evolves.

A team that delivers and celebrates together.

Ready to grow with us? Take a look at this opportunity

We are looking for a Data Engineer to join an international team focused on building and maintaining data solutions that support reporting, analytics, and business decision-making.

What will you do?

• Build and maintain ETL/ELT pipelines and data integration processes.
• Automate and orchestrate data ingestion and transformation workflows.
• Develop reliable and scalable data solutions for reporting and analytics.
• Monitor data quality, consistency, and reliability across the platform.
• Improve the performance of data pipelines and databases.
• Contribute to CI/CD practices and deployment processes.
• Ensure compliance with Data Governance, Data Lineage, security, and GDPR standards.
• Collaborate with technical and business stakeholders in an Agile environment.

What are we looking for?

• 3-4 years of experience as a Data Engineer.
• Strong SQL and Python skills.
• Experience building and maintaining ETL/ELT pipelines.
• Experience with workflow orchestration and automation.
• Knowledge of Docker and Kubernetes.
• Experience with CI/CD practices.
• Understanding of Data Governance, Data Lineage, data quality, and GDPR.
• Experience working in Agile teams.
• English B2+/C1 required for daily communication in an international environment.

Nice to Have

• AWS experience.
• Knowledge of Apache Airflow.
• Experience working with international teams.

What We Offer

• An international and collaborative environment.
• Flexible working hours from Monday to Thursday and intensive Fridays.
• Hybrid working model.
• Modern data engineering practices and technologies.

Madrid (Barajas / Campo de las Naciones area)

Hybrid model: 2-3 days onsite per week

The employee will adhere to information security policies:

• -Will have access to confidential information related to Capitole and the project they are working on.
• -Must comply with the security policies and internal policies of the company and the client.
• -Must sign an NDA.