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, adaptable 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
Want to know more? Click here ?️ and find out!
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Feel free to send us your profile, we are excited to meet you! ?
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)
🏢 Capitole
📍 Madrid
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