Data Engineer

Mane Contract Services
Salford
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Principal Engineer – Central Data Team

Salary – up to £47,000

Location – Bolton


What we can offer you:

  • Company Bonus: Up to £2,500 (variable based on company performance each year).
  • Pension: Maximum combined contribution (employer and employee) of up to 14%.
  • Overtime: Opportunities for paid overtime.
  • Facilities: Outstanding site facilities including subsidised meals, free car parking, and more.
  • Training and Development: Excellent opportunities for career progression, training, and development.


The role:

We’re seeking an engineer with strong ERP experience—ideally in SAP—who can lead on data integrity, process improvement, and best practice implementation across engineering and manufacturing teams. This role involves defining and executing master data audit strategies, supporting daily ERP-related issues, and ensuring engineering processes align with MRP requirements. You'll collaborate across departments to drive operational excellence, improve SAP functionality, and support user training and documentation, all with a focus on enhancing data quality and delivery performance.


What we want from you:

  • HNC qualification or equivalent level of education.
  • APICS Supply Chain certification is desirable but not mandatory.
  • Proficient in the use of ERP systems (essential).
  • Experience with SAP is an advantage.
  • Strong analytical and problem-solving skills.


For Security Clearance reasons to work this role you must have British citizenship or be a dual national with British citizenship


This role is perfect If you're interested in working with one of the leading names in the defence industry, click "Apply Now"!

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.