Data Engineer

• Design, build, and maintain data pipelines and ETL processes end-to-end.
• Implement and optimize workflows in Python, Informatica Cloud, and PowerCenter.
• Manage and administer databases (PostgreSQL, Oracle, SQL Server, Redshift).
• Develop Data Quality Rules, perform testing and validation.
• Monitor and troubleshoot complex data processes.
• Collaborate with stakeholders to gather requirements and deliver scalable solutions.
• Support migration to AWS-based architecture and continuous improvement initiatives.

• 3+ years of experience in AWS cloud environments.
• 5+ years in ETL, BI, and Big Data projects.
• Strong experience in data modeling and SQL development.
• Hands-on expertise with Apache Airflow, Spark / PySpark, and scalable Python development.
• Solid knowledge of relational and columnar databases (Oracle, SQL Server, Redshift).
• Familiarity with Informatica Cloud, PowerCenter, and modern data pipeline design.
• Experience in Agile environments (Jira) and version control (GitHub).
• Fluent English (C1) for daily collaboration in an international setting.

Nice to have:

• Experience with Databricks for advanced ETL and monitoring.
• Knowledge of AWS native tools (Glue, Lambda, CloudFormation, DynamoDB, DataZone).
• Certifications in Data Warehousing / BI.
• Experience in migration projects and direct client interaction.

At Huxley, we are looking for a Data Engineer to join a dynamic international team working on a major cloud migration project for a global B2B environment. This is a hybrid opportunity based in Barcelona, ideal for professionals passionate about AWS, modern ETL tools, and agile collaboration. Job title