Data Engineering Analyst: Build End-to-End Data Pipelines
Summary
Build and optimize end-to-end data pipelines using SQL, Python, and cloud platforms like Azure Data Factory and Databricks.
Metyis is a global firm delivering Big Data, Digital Commerce, Marketing & Design solutions and advisory services. Based in Barcelona, we seek a data engineer to build and optimize end-to-end data pipelines, collaborate with data scientists, and contribute to scalable data solutions across industries.
Ideal candidates have 1–2 years in data engineering, strong SQL and Python skills, and familiarity with cloud-based data platforms like Azure Data Factory and Databricks.