SQL Server Developer Lead

N Consulting Global; Glasgow; On-site; GBP 65,000 - 95,000; Full time

Job summary

N Consulting Global in Glasgow seeks a Senior SQL Server developer to architect, build and optimise data warehouse components for security, risk and records-management reporting. You will design robust schemas, implement data quality controls and lead the end-to-end delivery of SQL Server solutions.

You will mentor peers, enforce coding standards, and collaborate with analysts, security and governance stakeholders to ensure compliant, testable data platforms and reliable production services.

Qualifications

• Expert T-SQL development with complex queries, stored procedures and set-based approaches.
• Strong SQL Server performance engineering including index tuning, partitions and tempdb.
• Testing mindset with automation using tSQLt or equivalent and data quality checks.
• Understanding of secure database development and data controls (access auditing, retention).
• Familiarity with Git/GitLab, code reviews and pull requests.
• Experience with CI/CD and release automation for database deployments.
• Artefact/repository management (Nexus) and dependency/version control.
• Scripting/automation using PowerShell, Linux shell and Python.
• Data governance/records management awareness and linkage to data products.
• Knowledge of Java/Scala with Spark in data processing contexts.

Responsibilities

• Own end-to-end SQL Server components for security, risk and records-use cases: requirements, design, build, review and deployment.
• Implement robust testing and quality controls (unit tests, data quality checks, reconciliations) across releases.
• Ensure database solutions meet security/records management requirements with appropriate access controls and logging.
• Design and evolve data models and physical schemas to support security metrics and governance.
• Provide production support including monitoring, incident triage and performance optimization, driving automation.

Skills

T-SQL development

SQL Server performance

Testing/QA mindset

Security/data controls

Source control

CI/CD tooling

Artifact management

Scripting/automation

Data governance awareness

Java/Scala with Spark

Education

Bachelor's degree in Computer Science or related field

Tools

Git/GitLab

Nexus

CI/CD tooling

PowerShell

Linux shell

Python

Java

Scala

Spark

Job description

• Senior SQL Server developer with experience in programming, design and integration of data warehouse and data distribution platforms.
• Designs, builds and optimises T‑SQL code (stored procedures, functions, views) and data models to produce trusted security/risk reporting and records‑management‑aligned datasets.
• Engineers resilient batch and near‑real‑time data processing, with strong data profiling, root‑cause analysis and incident/problem management.
• Owns performance tuning and capacity considerations for SQL Server workloads (query plans, indexing strategy, partitioning, statistics, IO/CPU optimisation) to meet SLAs.
• Works with engineers, analysts and control owners to translate security, risk and records‑management requirements into robust schema, data quality rules, lineage and reconciliations; ensures solutions are testable, supportable and compliant.
• Leads by example through peer reviews, coding standards, release discipline and mentoring; proactively manages delivery risks and dependencies across data platform, security, risk and governance stakeholders.

Key Accountability:

• Owns end‑to‑end delivery of SQL Server components for security, risk, control and records‑management use cases: requirements capture, technical design, build, code review, deployment and documentation, aligned to agreed engineering standards.
• Implements robust testing and quality controls (e.g., tSQLt/unit tests, data quality checks, reconciliations) and supports SIT/UAT/release cycles.
• Ensures database solutions meet security and records‑management requirements (classification, retention, access controls, segregation of duties, logging/audit trails), partnering with risk and platform governance as required.
• Designs and evolves data models and physical schema that support security metrics, control monitoring and MI, with clear lineage and interfaces to upstream/downstream data products.
• Provides operational support for production services (monitoring, incident triage, problem management, remediation and performance optimisation) and drives continuous improvement through automation and standardisation.

Person Specification:

• The role holder must be a strong computer scientist with a good appreciation of the fundamental principles of relational database technology.
• The role holder must have strong time management skills and be able to juggle and complex and demanding workload.
• The candidate will be educated to degree level or above, preferably in computer science or a closely related discipline.
• The role holder will have an excellent command of English language with strong written and verbal communications to deliver against our commitment to providing a world class service and drive our dedication to the client experience.

Essential Skills/Basic Qualifications:

• Expert T‑SQL development (complex query design, stored procedures/functions, set‑based approaches) with strong code quality and review discipline.
• Strong SQL Server performance engineering (execution plans, indexing, partitioning, tempdb, concurrency) and ability to diagnose production issues under pressure.
• Testing mindset and automation: tSQLt (or equivalent), data quality assertions, and ability to produce repeatable evidence for security/risk/control reporting.
• Good understanding of secure database development and data controls (access management, auditing, sensitive data handling) and confidence engaging with security and risk stakeholders.
• Source control and branching strategies (Git/GitLab), pull requests, and code review standards.
• CI/CD tooling (e.g., GitLab) and release automation for database deployments.
• Artefact/repository management (e.g., Nexus) and dependency/version control.
• Scripting/automation (e.g., PowerShell and Linux shell scripting, plus Python where needed) and familiarity with server scheduling/orchestration patterns.
• Data governance/records management awareness (retention and evidencing) and how these apply to data products and reporting.
• Working knowledge of Java and/or Scala particularly where used alongside Spark‑based data processing.

Stakeholder Management and Leadership:

• Key stakeholders within the team are the Lead Product Owner, Data Analysts, PM/scrum masters and Technical Leads.
• Key stakeholders external to the team are the Wealth Enterprise Architects and BAs and architects on other platform or project teams that interface to PBTV.