National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Database Developer

Guildford
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Developer - Data & AI

SQL Developer

Database Engineer

Database Engineer

Hadoop SQL Developer

Data Engineer (Enterprise DataWarehouse Developer)

Job Title: Database Developer

Location: Guildford (onsite)

Salary: £50,000 - £60,000 DOE

Job Summary:

The Database Developer will play a critical role in designing, developing, and maintaining robust, scalable, and secure databases that support business operations and legal systems. The ideal candidate will have a strong background in database modelling, administration, performance tuning, and experience working with both cloud (Azure) and on-premises databases.

Key Responsibilities:

Design, model, and implement efficient database structures to support new and existing applications.
Develop, optimize, and maintain complex SQL queries, stored procedures, functions, and triggers.
Administer, monitor, and troubleshoot databases to ensure optimal performance, reliability, and security.
Implement and manage data replication, backups, and disaster recovery solutions.
Work closely with software developers, data engineers, and business stakeholders to understand data requirements and translate them into effective database solutions.
Optimize database performance through indexing, query tuning, and resource management.
Manage database security, user permissions, and compliance with legal and regulatory requirements.
Support both on-premises SQL Server environments and Azure SQL databases.
Contribute to the development and implementation of data governance and best practices.

Essential Skills & Experience:

Proven experience as a Database Developer, Database Administrator, or similar role.
Strong expertise in database design, data modelling (both relational and dimensional), and normalization techniques.
Extensive experience with Microsoft SQL Server (on-prem) and Azure SQL databases.
Proficiency in T-SQL, including complex queries, stored procedures, functions, views, and triggers.
Experience with performance tuning and query optimization techniques.
Strong knowledge of database administration, including backup/restore strategies, high availability, disaster recovery, and replication.
Familiarity with security best practices, encryption, and compliance requirements in data management.
Experience with database monitoring tools and performance diagnostics.
Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Factory, and Azure Storage.
Strong understanding of SDLC, version control (e.g., Git), and DevOps practices related to database development.

Desirable Skills:

Experience working with legal systems and understanding the data requirements within the legal industry.
Knowledge of data warehousing concepts and ETL processes.
Experience with automation and scripting (e.g., PowerShell) for database management tasks.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
Relevant Microsoft certifications, such as:
Microsoft Certified: Azure Database Administrator Associate
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: SQL Server Database Development/Administration

Personal Attributes:

Strong problem-solving and analytical skills.
Excellent attention to detail with a focus on data accuracy and security.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Ability to work independently and as part of a collaborative team in a fast-paced environment.

Benefits:

Early joiner of a fast-growing tech team with big ambitions and exciting projects
On-site gym with personal trainer
Bistro serving both breakfast and lunch by a chef
A company that places a lot of value on its culture and people.In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.