Correla is an independently owned business focused on innovation in the energy market. They are seeking an Associate Data Engineer to support the development and maintenance of data pipelines, ensuring data quality and collaborating with BI teams for accurate reporting.

Responsibilities

• Support the development, maintenance, and monitoring of data pipelines across Azure Databricks using SQL and Python (PySpark)
• Identify and troubleshoot pipeline issues, including performance, failures, and data quality concerns
• Apply data quality checks, validation routines, and basic testing to ensure reliable data output
• Use data modelling principles (e.g. dimensional modelling) to support scalable reporting and analytics
• Collaborate with BI teams and stakeholders to deliver accurate data for Power BI reporting
• Contribute to onboarding new data sources and improving data pipeline architecture and stability
• Follow best practices in documentation, code development, version control, and data governance

Skills

• Working knowledge of Azure Databricks and Python (with exposure to PySpark) for supporting data pipelines
• Strong SQL skills for querying, validating and troubleshooting data
• Understanding of data pipeline architecture (ingestion, transformation, delivery)
• Familiarity with data modelling concepts (e.g. Dimensional modelling, fact/dimension tables)
• Ability to apply data quality checks, validation and basic testing
• Structure approach to troubleshooting, with clear documentation and effective stakeholder collaboration

Benefits

• Locate for your day
• Uncapped annual leave
• 6-12% Pension Contribution
• Private Healthcare
• 26 weeks’ full pay equal parent leave
• Wellbeing Services
• And more!

Company Overview