Data Engineer

Job Title: Data Engineer

Location: London

Type: Permanent, Full-time

Department: Group IT

Reports to: Software Development Manager

**IDEALY HAS PHINSYS EXPERIENCE**

About the Role

We are looking for a skilled Data Engineer to join a dynamic IT team within a well-established, regulated organisation. This role offers the opportunity to work on critical data platforms, support financial reporting processes, and play a key part in a strategic transition to cloud-based technologies.

You will be responsible for maintaining and developing data solutions, supporting SQL Server environments, and contributing to the design of modern, scalable data architecture.

Key Responsibilities

• Support critical data processing between core systems and the Enterprise Data Warehouse, ensuring accurate and timely reporting
• Manage and monitor ETL pipelines, identifying and resolving data issues and performance bottlenecks
• Act as a technical point of contact during financial close periods (monthly, quarterly, year-end)
• Perform root cause analysis on data issues and implement effective solutions
• Collaborate with IT and business teams to resolve data challenges and improve processes
• Identify opportunities to automate and optimise manual workflows
• Contribute to the design of a cloud-based “Single Source of Truth” data platform
• Design, develop and maintain ETL workflows using modern tools (e.g. Azure Data Factory, Databricks)
• Optimise database performance through query tuning, indexing and partitioning strategies
• Support CI/CD practices using Azure DevOps
• Produce and maintain technical documentation
• Provide ad-hoc data extraction, reporting, and general IT support as required

Technical Skills & Experience

• Strong experience with SQL Server, including T-SQL, stored procedures, and performance tuning
• Solid understanding of ETL processes and tools (SSIS, Azure Data Factory)
• Experience with cloud platforms such as Azure (Synapse, Databricks, Fabric) or Snowflake
• Familiarity with Azure DevOps and source control best practices
• Experience working with Visual Studio (VS2022+)
• Knowledge of data warehousing concepts and architectures

Desirable:

• Experience supporting financial systems (e.g. accounting or policy systems)
• Azure DBA experience
• Knowledge of Azure Analysis Services or SSAS
• Experience with C#, ASP.NET MVC, or web application development
• Familiarity with AI tools such as GitHub Copilot
• Exposure to VBA or SharePoint Online

Skills & Attributes

• Strong analytical and problem-solving skills
• Ability to work effectively with business stakeholders and gather requirements
• Excellent communication skills (written and verbal)
• Ability to prioritise and perform under pressure
• Collaborative team player with strong relationship-building skills
• Familiarity with Agile methodologies

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