GCP Data Engineer — Analytics Pipelines & Data Quality
Summary
A data engineer builds scalable analytics pipelines on Google Cloud Platform to support analytics and AI initiatives, with a strong focus on data quality, governance, and stakeholder collaboration. Requires 3+ years of data engineering experience, strong SQL and Python, and ETL/ELT experience in a hybrid Madrid-based role.
Kyndryl is hiring a Data Engineer to join the ADAI practice, designing scalable data pipelines on Google Cloud Platform to enable analytics and AI initiatives. The role emphasizes data quality, governance, and collaboration with stakeholders in a enterprise setting.
The ideal candidate has 3+ years in data engineering, strong SQL and Python skills, and experience with ETL/ELT pipelines. This position offers a hybrid work model across Madrid and other locations.