Data Engineer

We are looking for an experienced Databricks SQL Data Engineer to join our growing data team in Barcelona. In this role, you will design, build, and optimize large-scale data pipelines using Databricks on AWS, driving data innovation and performance across complex enterprise environments., * Design and maintain end-to-end data engineering pipelines, ensuring reliability, scalability, and quality.

• Develop and optimize Databricks SQL notebooks, workflows/jobs, DABs, DLT, Delta/Iceberg.
• Write efficient and performant SQL queries, functions, and procedures to support analytical and operational use cases.
• Collaborate with cross-functional teams (Data Architects, Analysts, DevOps, and Infra Teams) to deliver robust data solutions on AWS (S3).
• Manage and safeguard customer data (PII, GDPR) and implement best practices in data governance.
• Support and enhance enterprise Databricks deployments, contributing to continuous improvements.

Technical Skills:

• 5+ years in data engineering, data architecture, or data processing.
• Minimum 2-3+ years hands-on experience with Databricks SQL on AWS for large-scale data projects.
• Strong experience with Python, YAML, and SQL performance tuning.
• Familiarity with CRM / Customer360 projects is a plus.
• Practical experience in handling data governance, PII, and GDPR compliance.

Process & Tools:

• Proven ability to translate business requirements into scalable data solutions.
• Experience with GitHub, Jira, MS Teams, and working within Agile environments.

Soft Skills:

• Strong communicator with excellent documentation and presentation abilities.
• Proactive, self-driven, and collaborative team player.
• Passionate about learning and promoting Databricks best practices.

Certifications (Preferred):

• AWS and/or Databricks certifications are highly valued.