onsite
Data Engineer - Sphere Digital Recruitment
Data Engineer
Data Engineer responsible for designing, building, and maintaining cloud‑based data pipelines and warehouses on GCP, AWS, and Azure, transforming advertising and analytics data for visualization and stakeholder insights.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines on Google Cloud Platform, AWS, and Azure.
- Integrate and transform data from advertising platforms, analytics tools, and client sources using ETL best practices.
- Build and optimise relational and columnar data models to support reporting and analytics.
- Collaborate with data analysts and marketers to deliver self‑service visualisation solutions.
- Implement data quality, monitoring, and governance frameworks to ensure reliable data delivery.
Requirements
- Strong experience with cloud data services (BigQuery, Redshift, Snowflake, Azure Synapse) and infrastructure on GCP, AWS, or Azure.
- Proficiency in SQL and a programming language such as Python for data manipulation and automation.
- Hands‑on experience building ETL pipelines using tools like Apache Airflow, Dataflow, or similar.
- Solid understanding of data modelling concepts and best practices for analytics workloads.
- Ability to work cross‑functionally with marketing, analytics, and engineering teams to translate business needs into technical solutions.