Data Engineer

About the role

We are looking for a Data Engineer to join our data engineering team, building and maintaining the platforms that ingest, transform, and serve data for our media and sustainability analytics products. You will work on self-serve data platforms used by internal teams and clients to connect data sources, apply business logic and taxonomies, and deliver clean, trusted data into reporting and analytics tools.

What you'll do

• Build and maintain data pipelines that ingest data from third-party APIs and internal sources into cloud data lake and lakehouse environments
• Develop data transformation logic (Spark/PySpark, SQL) to standardize, model, and enrich raw data into analytics-ready datasets
• Build and maintain orchestration workflows to schedule, monitor, and troubleshoot data pipeline execution
• Support data governance and access control models (e.g. Unity Catalog, ABAC-based policies) to help ensure data is secure and appropriately scoped by tenant, client
• Work with product managers and senior engineers to implement platform features such as connector frameworks, taxonomy/rules engines, and data export capabilities

What you need

• 3–6 yrs of experience
• SQL
• ETL
• Spark
• Databricks
• Power BI
• Tableau
• Any graduate

Good to have

• Azure
• Airflow
• IAM
• Kubernetes
• CI/CD
• Unity