We are seeking a Data Engineer with strong hands-on experience in Microsoft SQL Server, T-SQL, and data integration to design, build, and maintain reliable data pipelines and data solutions. The role will focus on ingesting data from internal systems and third-party platforms, including REST APIs, transforming and validating data, and delivering high-quality datasets for reporting, analytics, and operational use. This aligns with current SQL Server Data Engineer and integration-focused role patterns.  

Working hours are: Monday to Thursday 08:00-16:30, and Friday 08:00 – 13:30. At least two days per week will need to be spent in the office at Grantham, as this is important for team collaboration and hands-on involvement with projects. The role will not be fully remote, and while we do offer a hybrid option for this role, Grantham is the primary base.

There will be a 2 stage interview process; initial interviews will take place via Teams, and will focus on technical ability and relevant experience. If successful at this stage, second interviews will take place on-site in person, with a view to having a tour of site, and meeting the team. This approach gives us a good balance between assessing technical skills and getting to you better in person.

Closing date for applications: Sunday 02nd August 2026.

Requirements

Key Roles and Responsibilities

• Design, develop, and maintain SQL Server databases, tables, views, stored procedures, and ETL/ELT pipelines. 

• Write and optimize complex T-SQL queries for data extraction, transformation, reconciliation, and loading. 

• Build and support integrations with RESTful APIs, including data ingestion, pagination handling, authentication, and error handling. 

• Develop and maintain data interfaces between internal applications, external partners, and third-party systems. 
• Ensure data quality, consistency, integrity, security, and availability across pipelines and storage layers. 
• Troubleshoot pipeline failures, performance bottlenecks, schema changes, and data anomalies. 
• Create and maintain technical documentation including source-to-target mappings, transformation rules, API specifications, and operational runbooks. 
• Work with analysts, software engineers, product teams, and stakeholders to translate business requirements into scalable data solutions. 
• Support data warehouse, reporting, and BI initiatives by preparing curated datasets for downstream consumption. 

Qualifications / Experience:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline, or equivalent practical experience (essential)
• Proven experience in a Data Engineer, SQL Developer, Integration Engineer, or similar role (essential) 
• Advanced knowledge of T-SQL, including joins, CTEs, window functions, stored procedures, functions, and query optimization (essential)
• Good understanding of JSON, XML, CSV, and other interchange formats (essential)
• Strong understanding of performance tuning, indexing, execution plans, and database best practices (essential)
• Ability to document solutions clearly and communicate with technical and non-technical stakeholders (essential) 
• Strong commercial experience with Microsoft SQL Server (essential)
• Experience integrating data from APIs and external systems (essential) 
• Experience with data modelling, relational schema design, and data warehousing concepts (essential). 
• Experience with data validation, error logging, and reconciliation processes (essential)
• Experience with Python for data engineering or automation. 
• Exposure to Power BI, SSRS, or other BI/reporting tools. 
• Familiarity with CI/CD, version control, and DevOps practices for data solutions. 
• Experience working with event-driven or near-real-time data ingestion. 
• Understanding of security models for APIs, including OAuth2, API keys, client ID/client secret, and token-based access. 

Benefits

• Employee Assistance Program / Counselling
• On-site parking
• Training and development
• Company workwear provided
• Gym discount
• Free tea / coffee
• 1:30pm finish on Fridays
• Holidays 24 days + 8 bank holidays (FTE, pro-rated)
• Quarterly bonus scheme
• Specsavers vouchers