Data Engineer
Core
Designing robust corporate data solutions and developing data pipelines from corporate systems into the Data Lake to enable governed self-service analytics.
Role type
Enterprise Data Engineer (Data Solution Designer/Modeller)
Builds
Corporate data solutions, data pipelines, semantic models, and automated test frameworks
Domain
Utilities (Water) / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, data modelling (dimensional/lakehouse), cloud platforms (Azure), Databricks, Azure Data Factory, Spark, Python, SQL, Agile/Scrum, product lifecycle management, automated testing
Preferred skills
Power BI, Azure DevOps
Technologies
Azure, Databricks, Azure Data Factory, Spark, Python, SQL, Power BI, Azure DevOps
Responsibilities
Design robust, secure, and supportable corporate data solutions; develop, test, and quality assure data pipelines from corporate systems into the Data Lake; develop, test, and quality assure semantic models; build automated test frameworks and develop test harnesses; contribute to work estimation and service policies; support onboarding of new team members and coach other Data Engineers
Seniority
Mid-Senior (3–5 years experience)
