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.
- Adaptable 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.

📌 Data Engineer (Airflow, AWS) (Madrid)
🏢 remoteo
📍 Madrid