Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Anson McCade
Liverpool
5 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Location – Bolton

Salary – Up to £47,000 (DoE)

Onsite Requirements – Hybrid 3-4 days per week


The Opportunity:

An exciting opportunity has arisen for a skilled and forward-thinking Data Engineer to join the Central Data function of a leading organisation in the defence and security space. This role offers the chance to influence and enhance the effectiveness of enterprise tools, processes, and data governance policies across a technically complex environment.

This is a key position where you will shape and implement data strategies, drive process optimisation, and collaborate with cross-functional teams to ensure robust systems support operational excellence.


Key Responsibilities:

• Develop and execute audit strategies aligned with master data governance policies, focusing on material masters, BOMs, and routings

• Utilise SAP to analyse and interpret data, identifying root causes and advising on the operational impact of decisions

• Collaborate with engineering, planning, and manufacturing teams to improve ERP-related processes and promote data consistency

• Lead efforts to define and embed best practices for routing and scheduling processes within SAP

• Support SAP enhancements and upgrades in collaboration with external support partners, including testing, documentation, and training

• Produce and distribute regular KPI reports and maintain user guidance documentation

• Engage in continuous improvement initiatives, with a strong focus on data integrity and end-to-end process efficiency


Key Requirements:

• HNC or equivalent qualification in a relevant discipline

• Demonstrable experience working with ERP systems (SAP experience preferred)

• Strong analytical and problem-solving capabilities, with a meticulous attention to detail

• Proven ability to deliver process improvements in a technical or manufacturing environment

• APICS certification is desirable but not essential

• Strong communication and collaboration skills, with the ability to influence across functions


Benefits:

• Salary – Up to £47,000

• Bonus – Up to £2,500

• Pension contribution of up to 14%

• Paid overtime options

• Up to 15 additional flexi leave days


For more information, please apply below or contact me directly.


Contact:

Email:

LinkedIn: Shay Campbell | LinkedIn

Reference: AMC/SCA/DTE

Data Engineer

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.