IT Data Engineer

We are seeking a Data Engineer with strong experience in SQL, data modelling, and ETL development, ideally complemented by exposure to cloud data platforms and business intelligence tools. The ideal candidate will have hands-on experience designing and maintaining data pipelines, ensuring data integrity, and supporting analytical initiatives across the business.

This role is perfect for someone with a few years of practical experience, eager to grow their technical expertise in data engineering while contributing to impactful projects within a collaborative IT environment.

Key Responsibilities:

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• Design, develop, and maintain ETL pipelines to extract, transform, and load data from multiple systems into centralised data repositories.
  
• Build and optimise SQL queries, stored procedures, and views to support reporting and analytics.
  
• Collaborate with software engineers, analysts, and business stakeholders to understand data needs and ensure reliable data delivery.
  
• Manage and monitor data integrations, ensuring performance, accuracy, and security.
  
• Assist with the design and maintenance of data models, data warehouses, and data lakes.
  
• Implement data validation, cleansing, and transformation logic to maintain high data quality.
  
• Support Power BI / reporting teams with optimised datasets and data structures.
  
• Work closely with IT and Infrastructure teams to ensure scalable and secure data operations.
  

Preferred Skills:

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• Strong proficiency in SQL (T-SQL or PL/SQL) – query optimisation, joins, indexing, stored procedures, and triggers.
  
• Experience with ETL tools such as SSIS, Azure Data Factory, or similar.
  
• Familiarity with relational databases (e.g., MS SQL Server, MySQL, PostgreSQL).
  
• Exposure to data warehousing concepts and dimensional modelling (e.g., star/snowflake schemas).
  
• Experience working with cloud platforms (preferably Azure, but AWS or GCP also valuable).
  
• Understanding of data governance, data quality, and security best practices.
  
• Some experience with programming languages such as .NET, Python or PowerShell for data manipulation or automation is advantageous.
  
• Experience with Power BI or Phocas BI tools is advantageous.
  
• Familiarity with version control systems (e.g., Git).
  
• Strong analytical and problem-solving skills.
  
• Excellent communication and teamwork skills.
  
• Ability to work in a hybrid remote/office environment at our Wolverhampton NDC (3 days office, 2 home).
  

GSF Car Parts is one of the UK’s leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over 202 branches nationwide and a turnover exceeding £475 million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 2021. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure

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