Data Engineer

Kristiyana Raycheva
Kristiyana Raycheva
Senior Recruitment Researcher
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Posted on 29 May 2026
£55000 - £60000
Permanent
Kent
32033

Opportunity description

Job Title:
Data Engineer
Data Engineer
Hybrid role 3 days on site in Dartford
Salary: £55,000 - £60,000

Job Overview
Stanton House is working with a global distributor of safety products generating approximately £80 million in global revenue. The business is currently growing and looking for a Data Engineer to join their team and take ownership of data architecture.
The business is exploring opportunities to modernise their data environment, including a planned migration to Microsoft Fabric. You will be responsible for designing and building robust data foundations, ensuring accurate, clean, and well-structured data across multiple systems.
The role suits someone who enjoys working independently in a low-complexity, well-balanced environment, with a strong emphasis on thoughtful design and structured delivery rather than rapid experimentation.

Responsibilities
  • Design, build, and manage the organisation’s data architecture, including setting up data lakes from scratch
  • Integrate and connect multiple data sources, including ERP (Microsoft Business Central), CRM, and third-party applications
  • Ensure data quality through validation, cleansing, and standardisation processes
  • Develop and maintain reliable data pipelines and SQL-based data structures
  • Support the business by preparing data for reporting and visualisation (report creation will be handled by internal teams)
  • Lead the migration and evolution of the data platform towards Microsoft Fabric
  • Work independently to define data structures, models, and flows using a logical, structured approach
  • Collaborate with internal stakeholders to understand system requirements and data needs
Skills Needed
  • Strong experience in data engineering roles
  • Proven ability to integrate multiple data sources (ERP, CRM, third-party systems)
  • Solid experience with SQL and database design
  • Experience building data lakes or similar data platforms from the ground up
  • Strong data validation, cleansing, and data quality management skills
  • Logical, methodical mindset with a structured, design-first approach
  • Ability to work independently with minimal supervision
  • Experience working in sales and distribution environments is highly desirable
  • Exposure to or interest in Microsoft Fabric or modern data platforms
  • Clear and effective communication skills

 

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