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# Mid Level Database Developer

- **Company:** iO Associates
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £45,000.0 - £50,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Big Data, Databases, Continuous Integration, Data Integrity, Data Systems, Database Development, DevOps, Microsoft SQL Server, SQL Azure, Performance Tuning, Windows PowerShell, Transact-SQL, Extensible Markup Language (XML), Scripting, Azure Data Factory, Indexer, Git, Core Data, Data Pipelines, Sql Tuning
- **Published:** May 15, 2026
- **Apply:** https://www.totaljobs.com/job/mid-level-developer/io-associates-job107319454

## About the Role

* 3+ years SQL Server experience
 * Strong T-SQL (queries, tuning, indexing)
 * Azure SQL experience
 * Strong analytical / data troubleshooting skills
 * Experience with structured data (CSV/XML)
 * Git experience

Desirable

 * Azure data services exposure
 * CI/CD or DevOps awareness
 * Scripting (PowerShell)
 * Financial or regulated data experience

Day-day

 * Large-scale financial dataset processing
 * Data reconciliation and reporting issues
 * SQL performance optimisation
 * Supporting internal users with data queries

We're looking for someone that's analytical, hands-on, and comfortable switching between development and support work. You can diagnose data issues independently and communicate clearly with stakeholders.

## Description

We're working with a specialist financial data organisation that processes large-scale, highly structured datasets for regulated reporting across major banking and lending clients.

The environment is data-heavy, fast-moving, and focused on accuracy, performance, and data integrity.

We're looking for a Database Developer to join a small Agile team working across SQL development, data investigation, and production support.

You'll be responsible for maintaining and improving core data processing systems, resolving data issues, and optimising performance across large datasets.

Split of work:

 * 60% SQL development & optimisation
 * 30% data investigation & support
 * 10% tooling/process improvement, * Develop and optimise SQL Server-based data solutions
 * Investigate and resolve data issues and anomalies
 * Support production systems and deploy fixes
 * Improve performance of queries and data pipelines
 * Work with internal stakeholders to resolve data queries


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