Data Engineer

Our client is a Barcelona-based technology company that builds digital products for large international corporations. Its teams work at the intersection of technology and business, acting as strategic partners to the companies they serve rather than simply delivering software.

The company works with agile methodologies and continuous iteration. Multidisciplinary teams own the full end-to-end lifecycle of each digital product.

Job Summary

We are looking for a Data Engineer with experience in Databricks to develop, maintain, and optimize data pipelines and ETL in an Azure Databricks environment. You will be part of a data engineering team ensuring the quality, scalability, and automation of cloud-based data processes.

• Design, develop, and maintain data pipelines in Databricks.
• Automate processes using Airflow.
• Implement data validation and schema enforcement with Avro and Delta Tables.
• Optimize query performance and storage using PySpark.
• Create data products and dashboards in PowerBI.

• Experience with Databricks and Spark (PySpark).
• Knowledge of Azure EventHub or Confluent Kafka.
• Experience in ETL and data modeling using Delta Tables/Parquet.
• Strong SQL skills for optimizing queries in distributed environments.
• Hands-on experience with Avro and Delta Tables.
• Skills in automation using Airflow.
• Experience creating dashboards.

Nice to Have

• Experience creating dashboards on PowerBI.
• Experience with Airflow.
• Knowledge of Unity Catalog.
• Familiarity with monitoring tools like Prometheus or Datadog.

• Competitive salary
• Meal allowance
• Private health insurance
• Hybrid working (remote and office)
• Flexible hours
• Summer intensive schedule
• 24 days of holiday per year
• Referral bonus
• Office in central Barcelona with fresh fruit, snacks and coffee