Data Engineer

I’m currently working with a client, a specialist software-as-a-service provider delivering tailored solutions and support to organisations across the UK energy sector. They are seeking an experienced Data Engineer to design, build, and optimise data solutions on the Azure platform. This role involves working with both structured and unstructured data to support business decision-making, analytics, and operational processes.

What You’ll Do:

• Design, develop, and maintain ETL/ELT pipelines.
• Build and optimize data lakes, warehouses, and lakehouse architectures in the cloud.
• Manage SQL and NoSQL databases (e.g., Azure SQL, Cosmos DB).
• Automate and scale data infrastructure using Infrastructure as Code.
• Monitor and ensure data quality, governance, and security.
• Optimize performance with efficient queries and resource management.
• Integrate internal and external data sources and APIs.
• Translate business needs into scalable, reliable data solutions.

• 3+ years of experience in data engineering.
• Strong SQL expertise; familiarity with NoSQL databases.
• Hands-on experience with Azure services, including Synapse and Fabric.
• Experience with Spark or Databricks.
• Proven ETL design and implementation experience.
• Experience with Terraform or similar automation tools.
• Excellent problem-solving skills and clear communication.