DVT is a leading global software development and data engineering company, delivering innovative technology solutions to some of the world's most respected brands. We pride ourselves on engineering excellence, agile delivery, and a people-first culture. Our teams work across industries, solving complex problems with cutting-edge technology. We are a community of passionate technologists who continuously push the boundaries of what's possible.
We are looking for a Senior SQL Developer to join our Data & Analytics Practice. In this client-facing role, you will be responsible for the design, development, and maintenance of complex SQL databases, writing efficient queries, stored procedures, and triggers. You will play a key role in database architecture, performance tuning, and mentoring junior developers.
This is a consultative engineering role — you will work directly with clients to understand their business challenges, architect robust database solutions, and lead delivery teams in a fast-paced, agile environment. You will be a technical leader, mentor, and advocate for modern database engineering best practices.
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Schema Design: Design, implement, and maintain database schemas, including tables, indexes, and relationships to support business requirements.
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Stored Procedures & Triggers: Develop and manage stored procedures, functions, and triggers to automate database operations and enforce business rules.
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SQL Query Optimization: Write and optimize complex, high-performance SQL queries to ensure efficient data retrieval and manipulation.
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Data Modeling: Design and implement data models that accurately represent the structure and relationships of data, including dimensional and relational modelling where required.
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Performance Tuning: Identify and resolve performance bottlenecks in database queries, indexing strategies, and infrastructure.
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Data Integrity & Security: Ensure data accuracy, consistency, and security through proper validation, constraints, and access control mechanisms.
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Database Version Control: Implement and maintain robust database version control practices, including change scripts and migrations.
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ETL Processes: Develop and manage processes for extracting, transforming, and loading data from various sources into target databases.
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Data Pipelines: Build and maintain reusable data integration patterns, parameterised scripts, and modular solutions.
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Requirements Gathering: Work directly with client stakeholders to elicit, translate, and manage technical and business requirements.
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Solution Design: Lead architectural and design sessions, ensuring alignment with business goals and enterprise strategies.
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Documentation: Produce clear, high-quality technical documentation across the project lifecycle (pre, during, and post-delivery).
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Estimation & Scoping: Contribute to project planning, estimation, and risk assessment for database initiatives.
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Mentoring: Share knowledge and provide guidance to junior developers on database-related tasks, promoting best practices and code quality.
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Agile Delivery: Actively participate in and guide Agile ceremonies (Scrum, Standups, Sprint Planning, Kanban).
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Standards: Enforce database engineering standards, naming conventions, and governance practices across all deliverables.
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Troubleshooting: Investigate and resolve complex database-related issues and problems in production and non-production environments.
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BI Integration: Connect databases to business intelligence tools (Power BI, SSRS, etc.) for reporting and analysis.
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Collaboration: Work closely with developers, business analysts, and stakeholders to understand requirements and develop robust solutions.
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Staying Updated: Keep up-to-date with the latest SQL Server technologies, trends, and best practices.
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Microsoft SQL Server: Deep, production-grade experience with SQL Server (2016+).
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T-SQL: Advanced proficiency in writing complex queries, stored procedures, functions, and triggers.
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Performance Tuning: Proven ability to optimise queries, indexing, and execution plans.
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Database Design: Strong experience in schema design, normalisation, and data modelling.
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ETL: Experience with SQL Server Integration Services (SSIS) or similar ETL tools.
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Version Control: Experience with database version control tools (e.g., Redgate, Azure DevOps, Git).
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Tools: Proficiency with SQL Server Management Studio (SSMS), Azure Data Studio, or similar.
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Azure SQL: Experience with Azure SQL Database or Azure SQL Managed Instance.
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Business Intelligence: Exposure to Power BI, SSRS, or SSAS.
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Open Source: Experience with PostgreSQL or MySQL.
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DevOps: CI/CD for database deployments.
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Data Warehousing: Experience with dimensional modelling (Star Schemas) and data warehousing concepts.
Essential:
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5+ years of experience in SQL development within the Microsoft ecosystem.
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Proven experience in database design, performance tuning, and ETL processes.
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Strong client-facing or consulting experience is highly valued.
Advantageous:
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BSc Computer Science, Engineering, Mathematics, or equivalent 3-year qualification.
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Microsoft SQL Server certification (e.g., MCSA, MCSE).
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Experience in the financial services, insurance, or healthcare sectors.
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Work with cutting-edge database technologies on real-world, large-scale projects.
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Be part of a globally recognised software engineering brand.
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Collaborative, agile culture with a strong focus on continuous learning and certification.
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Opportunity to mentor and lead — not just code.
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Competitive remuneration and benefits.
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Exposure to diverse industries and challenging client problems.
