We are a leading digital transformation company, constantly evolving and at the forefront of technology.
Made up of over 3,000 creative, digital, and innovative people connected by a purpose and capable of creating connections with people all around the world. A responsible, flexible team with high adaptability to the needs of our clients and the market, while providing value, vision, creativity, expertise, professionalism, and passion for technology in every project.
The values that guide our path and lead us to excellence are collaboration, innovation, commitment, fun, and trust.
Join our team as a Senior Data Engineer and enjoy an innovative and collaborative work environment.
Design, develop, and optimize large-scale data pipelines using Apache Spark and Python/PySpark.
Develop and maintain cloud-based data solutions on Microsoft Azure.
Process, transform, store, and expose data efficiently across different platforms and applications.
Implement data quality controls, validation processes, monitoring, and documentation standards across data pipelines.
Collaborate with Data Engineering, Data Science, Architecture, and business teams to understand requirements and deliver practical data solutions.
Contribute to engineering best practices related to code quality, testing, version control, CI/CD, and automation.
Apply data governance, data cataloging, and data quality monitoring practices to ensure trusted and compliant data assets.




Participate in the design of scalable cloud-based data architectures.
5+ years of experience in Data Engineering.
~5+ years of hands‑on experience with Apache Spark using Python/PySpark in production environments.
~ Proven experience building and maintaining production‑grade data pipelines in large‑scale or complex data ecosystems.
~ Strong understanding of dimensional data modeling and data warehouse design principles.
~ Experience designing scalable cloud‑based data architectures.
~ Ability to provide technical guidance and support on ETL/ELT best practices and data engineering standards.

Experience with Databricks, Delta Lake, Unity Catalog, and Databricks Workflows.
Hands‑on experience delivering data engineering solutions using Azure Databricks.
Familiarity with data governance and data cataloging frameworks.
Permanent contract
Remote work model. Option to go to the office, but always at the employee's choice.
Versátil hours: flexible schedule, start at 8:30 am, finish at 6 pm, with intensive Fridays from 8 am to 3 pm, and in summer (July and August) intensive from 8 am to 3 pm.
Permanent contract: from day one, with the option of 12 or 14 payments.
Restaurant card, childcare voucher, health insurance, training, and other benefits with tax advantages.
Discounts on technology, leisure, and training.
Continuous training: Access to Udemy Business, language courses, official certifications, and technical training.
Social Events:

📌 Senior Engineer, Data Engineering (Las Rozas de Madrid)
🏢 knowmad Mood
📍 Las Rozas de Madrid