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

Apply Now

Engineering Resource Planning Data Quality Management Senior Specialist

Gaydon
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineering Director

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London) London

Machine Learning Engineer (Databricks)

Senior Data Scientist

Senior Data Scientist

Position: Data Analyst (Tableau)

Sector: Professional Services

Location: Gaydon (Hybrid)

Position Type: 6 month rolling contract

Inside / Outside IR35: Inside

Salary: up to £36.36 umbrella per hour

About the company

I am currently recruiting on behalf of a Luxury Automotive OEM based in Gaydon who are seeking a Data Analyst (Tableau) to join their team

Job Description

As Data Analyst (Tableau) your main responsibilities are:

The Engineering Resource Planning Team are seeking an exceptional individual to take the role of an Engineering Resource Planning Data Quality Management Senior Specialist, within our Clients' passionate and driven team.
With resource being their biggest asset, our Client have a fantastic opportunity for an individual to join the team to support with the management of the data and resource tools and systems.
Data is at the heart of everything the Client does, which is why this a key role within the team to manage Tableau Programme Metrics dashboards, which holds a strict monthly cadence, including benchmark analysis, trend analysis, creation of KPI's and Tableau Dashboards, continuing to refine and enhance the data reporting

Qualifications / Skills needed

Tableau Specialist, with strong IT skills, to include Excel/problem solving
Data Analytics experience, demonstrating the ability to analyse complex data and to create appropriate reports and visualisations to support discussions at all levels of the business
A degree in a technical field (e.g. IT, Engineering or Science) with strong IT skills or equivalent experience
Experience of change management or driving process improvement
A degree in a technical field (e.g. IT, Engineering or a Science subject) - preferred
Experience working in a cloud environment, e.g. GCP Python programming experience

Why work through Contechs?

Contechs is a leading Automotive, Design, Engineering, Technology and Innovation Recruitment Consultancy. Founded in 1997, with an inhouse Contractor Care Team to support all external employees, acts as an employment agency for permanent and contract recruitment.

How to Apply

If you're interested in applying for this position, submit your application and one of our recruiters will be in touch.

If you know anyone that is suitable for the role, please visit the below page where we offer up to £600 referral fee

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.