data engineer for customer data platforms

team.blue is a digital enabler for companies and entrepreneurs, providing innovative digital services through an ecosystem of hosting, SaaS, e-commerce, compliance, marketing, and collaboration brands across Europe.

• Design and deliver scalable customer-domain data products that provide a unified source of truth across 60+ global sub-brands;
• Build and optimize ETL/ELT pipelines for structured and unstructured data, ensuring high availability and low latency;
• Lead the design of secure and cost-efficient data architectures;
• Establish and enforce best practices in data modeling, orchestration, and observability;
• Implement data governance frameworks covering lineage tracking, metadata management, and quality controls;
• Translate complex business requirements into high-performing technical solutions for Analytics, ML, and AI teams;
• Manage and tune data pipelines through indexing strategies, query optimization, and schema evolution;
• Mentor junior engineering team members and foster technical excellence;
• Lead projects from ideation to actionable solutions while balancing technical debt and rapid delivery;
• Translate complex technical concepts into clear business value for non-technical stakeholders;
• Manage multiple high-priority workstreams with attention to detail.

• 7+ Years of professional experience in data engineering or data management;
• Advanced degree (Masters or PhD) in Computer Science, STEM, or a related quantitative field;
• Deep hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog) or very rich hands-on experience with open table formats;
• Expert-level SQL skills, including optimization and indexing;
• Mastery of dimensional, star schema, and snowflake data modeling techniques;
• Proficiency with at least one major cloud provider, such as AWS or Azure;
• Experience with Airflow or dbt;
• Strong command of Docker and Kubernetes;
• Commitment to CI/CD best practices with Gitlab or GitHub;
• Experience with data versioning, schema evolution, and distributed metadata management;
• Demonstrable history of deploying stable, high-performance data solutions that drive measurable business value;
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.

• Employment in Barcelona, Catalonia, Spain;
• Relocation packages and visa sponsorship are not available;
• Candidates must provide proof of eligibility to work in the country of application.