Data Engineer - Insurance

Our client is a well-established organisation undertaking a major data transformation initiative and is looking for an experienced Data Engineer to join their growing data team.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data integration solutions across multiple business platforms.
• Build and optimise data warehouse and analytics environments to support reporting and business intelligence requirements.
• Collaborate with stakeholders, analysts, and developers to ensure high-quality, reliable, and accessible data assets.
• Integrate and transform data from legacy and modern systems, enabling seamless data flow across the organisation.
• Support the continuous improvement of data platform performance, governance, and best practices.
• Contribute to Agile delivery processes and participate in automation, deployment, and DevOps initiatives.

Requirements

• Degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum 5 years of experience in data engineering, ETL development, or data warehousing environments.
• Proven hands-on experience working with Azure Databricks, Apache Spark, and PySpark.
• Strong expertise in SQL development, query optimisation, and database performance tuning.
• Experience working with Azure SQL Managed Instance or similar cloud-based database platforms.
• Familiarity with Azure Data Factory, Azure Data Lake, and broader Azure data ecosystem services.
• Hands-on experience supporting BI and analytics platforms such as Qlik Sense and/or QlikView.
• Solid understanding of dimensional data modelling, data warehousing principles, and data architecture best practices.
• Experience using source control tools, CI/CD practices, and Agile delivery methodologies.