Data Engineer – Intermediate (2+ years experience)

About the role

The Data and Visualization team seeks a motivated Data Engineer who enjoys turning raw data into actionable insights. You will bridge data engineering and business intelligence, helping the organization make strategic decisions through robust data models and compelling visualizations.

Key responsibilities

• Design, build, and maintain scalable data models, data warehouses, and cloud data lakes.
• Ensure data quality, performance, and reliability across multiple sources.
• Develop and maintain dashboards and visualizations using Looker, Tableau, or Power BI.
• Interpret large datasets, identify trends, and provide analysis to support business growth.
• Manage project progress, metadata collection, and documentation with moderate supervision.
• Continuously explore new technologies and techniques to improve BI processes.

Required profile

• 2+ years of experience as a Data Engineer or in a related role.
• Advanced SQL skills and experience with cloud data lakes such as BigQuery, Snowflake, or AWS Redshift.
• Proficiency in Python, especially Pandas and NumPy.
• Experience building or deploying machine‑learning models using Python or SQL.
• 2+ years using data‑visualization tools (Looker preferred, Tableau or Power BI acceptable).
• Strong communication and data‑storytelling abilities.
• Basic knowledge of Google Cloud Platform and regular Git usage.
• English proficiency at B2 level or higher.

Required skills

• SQL
• BigQuery
• Snowflake
• AWS Redshift
• Python
• Pandas
• NumPy
• Looker
• Tableau
• Power BI
• Google Cloud Platform
• Git