Data Engineer

First Military Recruitment
Cumbria, England
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Erin Associates South Yorkshire, United Kingdom
£55,000 – £60,000 pa

Data Engineer

Gold Group City of London, United Kingdom

Data Engineer

Consortium Professional Recruitment Hessle, United Kingdom

Data Engineer

SF Partners Manchester, United Kingdom

Data Engineer

VIQU Energy London, United Kingdom

Data Engineer

Big Red Recruitment Midlands Limited Huddersfield, HD1 2AA, United Kingdom
Posted
21 Jun 2025 (10 months ago)

Overview

:

First Military Recruitment are currently seeking a Data Engineer on behalf of one of our clients. Responsible for supporting the delivery of the Project Services Team to meet customer requirements to improve service delivery standards in respect of new store openings, store closures and changes to existing estate in particular structured cabling, software upgrades, IMAC and associated remedial shop fitting works. Our client encourages applications from ex-military personnel however all candidates will be given due consideration.


Duties and Responsibilities:

To deliver on site projects to the customer specification and agreed statement of works, including structured cabling, data communications, IMAC work, software upgrades, decommissioning of equipment and general remedial shop fitting works in line with product specification and industry standards.


To deliver works in line with Health and Safety standards and at all times ensuring adequate control of risk to self, customer employees on site and the general public.
To keep abreast of changes to legislation and product development to ensure the highest standards are achieved at all times.
Keeping the customer and Project Services Team informed at all times of the progress of the work.
Reporting to the relevant helpdesk, where necessary, in accordance with the escalation procedures of the relevant customer.
Updating the Project Manager at every stage to ensure smooth communication between the company and the customer.
Accurately recording stock deployment to allow maintenance of up to date and accurate stock inventory records on behalf of the customer.
Completion of all relevant documentation to allow performance reports to be produced in a timely manner to monitor customer service.
Maintaining contact with the Project Services Team to allow real time logging and availability.
Returning and packaging of decommissioned equipment to the repair centre, with fully completed documentation, within a two day window, fully assembled and labelled.
Any other reasonable tasks as assigned by management.

Skills and Qualifications:

Previous experience in a similar role.


Excellent customer service skills.
High degree of flexibility in terms of hours of work and location.
High level of health, safety and environmental compliance.
Full clean driving licence.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.