National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

ERP Data Engineer

Bolton
3 weeks ago
Create job alert

ERP Data Engineer

Job Title: ERP Data Engineer
Location: Bolton
Salary: Circa £47,000 depending on experience
Working: Hybrid – 3 to 4 days per week on-site

Our Client

A high-technology engineering organisation is seeking an ERP Data Engineer to join their Central Data Team. This team is instrumental in ensuring the effectiveness of tools, processes, and policies that underpin key engineering operations. With a strong focus on data accuracy and ERP system performance, this role plays a central part in delivering operational excellence across the business.

The organisation offers a dynamic and collaborative environment where your experience with ERP systems - particularly SAP - will be key in driving standardisation and process improvements across engineering and manufacturing functions. Flexible working is welcomed, and the site provides exceptional facilities including subsidised meals, free parking, and generous employee benefits.

Key Responsibilities
 
Provide first-line support for daily ERP-related issues and master data concerns.
Use SAP to analyse, interpret, and communicate data insights linked to business decisions.
Define and manage audit strategies in line with the organisation’s master data policy.
Promote data integrity through involvement in the Operational Excellence master data work stream.
Review engineering processes to ensure they support robust MRP outputs.
Generate and distribute KPI reports across relevant departments.
Manage auditing strategies related to master data, such as material masters, BOMs, and routings.
Implement processes for managing routing times to optimise capacity and scheduling in SAP.
Define assembly structures from deliverables down to sub-components and lead process improvements to support timely customer delivery.
Collaborate with outsourced support partners to implement, test, and train teams on SAP system enhancements.
Conduct system regression testing and maintain up-to-date SAP user guides.
Produce requirement analysis documents and functional specifications based on business needs.
Experience
 
Proven experience working with ERP systems in a manufacturing or engineering setting.
Prior exposure to SAP systems is beneficial.
Strong analytical and problem-solving capabilities.
Attention to detail with a consistent track record of delivering process improvements.
Comfortable collaborating with cross-functional teams to drive data-led decisions.
Qualifications
 
HNC level qualification or equivalent is required.
APICS Supply Chain certification is desirable but not essential.
If you’re a collaborative engineer with ERP expertise, and you're ready to make a meaningful impact within a central data function, apply now to be considered for this opportunity.

Keywords: Principal Data Engineer, ERP Engineer, SAP Engineer, Engineering Process Improvement, Master Data Specialist, MRP Systems, SAP Functional Analyst, Data Integrity, Engineering ERP Support, Hybrid Engineering Roles Bolton

Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to a number of high technology industries. We thank you for your interest in this vacancy. If you don't hear from us within 7 working days please presume your application has been unsuccessful on this occasion. You are of course free to resubmit your CV/details in the future and we shall assess your suitability at that time.

Due to the nature of work undertaken at our client's site, incumbents of these positions are required to meet special nationality rules and therefore these vacancies are only open to sole British Citizens. Applicants who meet this criteria will also be required to undergo security clearance vetting, if not already security cleared to a minimum SC level.

This is a permanent position

Related Jobs

View all jobs

Azure Data Engineer

Data Engineer

Data Analyst

Data Analyst

Data Scientist

Business development Manager (Staffing Consultancy)

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.