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Data Engineer

Job in London, Greater London, EC1A, England, UK
Listing for: Experis
Full Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager
  • Engineering
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 41000 GBP Yearly GBP 41000.00 YEAR
Job Description & How to Apply Below
Role

Title:

Data Engineer

Location:

Hybrid / London (occasional travel required)
Clearance: BPSS required to start. Must be eligible to undergo SC Clearance.
Duration: 12 months

Start Date:

ASAP

The ideal candidate will have active SC Clearance or be eligible to undergo SC Clearance.

We are actively looking to secure a Data Engineer to join Experis.
Experis Consultancy is a global entity with a well-established team of over 1000 consultants on assignment across 20 clients internationally. Our UK operation is expanding rapidly with ambitious growth plans for the coming years. We form part of the Manpower Group, collectively generating over $20 billion annually.

Experis UK partners with major clients across multiple industries. Our approach is personal and collaborative for both our clients and our own employees. We are passionate about training, technology, and career development.

Job Purpose /

The Role:

Design, build, and maintain reports and interactive dashboards using Power BI. Translate business requirements into meaningful insights through data modelling, DAX measures, and visualisations. Work closely with data engineers to ensure data accuracy, availability, and quality. Support the data team by maintaining data dictionaries, metrics definitions, and documentation. Perform data validation, analysis, and ad-hoc reporting while adhering to data governance, security, and compliance standards.

Your

Key Responsibilities:

Strong experience with Power BI (report building, dashboards, DAX, data modelling)
Proficiency in SQL for querying, validating, and analysing data
Solid understanding of data modelling concepts (e.g. star schema, facts and dimensions)
Experience working with data warehouses and/or data lakes
Ability to create and maintain data dictionaries and metrics definitions
Strong analytical and problem-solving skills
Ability to communicate insights clearly to technical and non-technical stakeholders
Understanding of data governance, security, and data quality principles

Benefits Include:

Contributory pension scheme
Employee Assistance Programme
Medical and Dental cover
22 days holiday + bank holidays
Maternity pay, shared parental leave, and paternity leave
Sick pay
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