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

Apply Now

Senior Process Engineer - Cement

Stockport
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Management Professional - Data Science - Data Management Lab

Finance Data Analyst

Senior Data Engineer (UK)

Senior Data Engineer - (Genetics) Maternity Cover - 12 months FTC

Senior Data Engineer - Hadoop

Senior Data Engineer

Senior Process Engineer - Cement

£Very Competitive + Bonus + Excellent Benefits

Location: Buxton, Derbyshire (commutable from Sheffield, Macclesfield, Matlock, Chesterfield, Rotherham, Huddersfield, Oldham, Stockport, Warrington)

Are you a cement process optimisation expert ready to lead innovation, boost efficiency, and support decarbonisation at one of the UK's most technically advanced cement plants?

We're hiring a Senior Process Engineer for a nationally significant cement facility located near Buxton, Derbyshire. The site features a state-of-the-art pre-calciner kiln, automated sampling, and advanced digital control system. This is a strategic role with strong progression potential and a chance to drive performance and sustainability at scale.

The Role: You'll collaborate with cross-functional engineering, production, and quality teams to:

  • Optimise kiln and clinker performance, reduce heat and power consumption

  • Lead initiatives to boost alternative fuel substitution (e.g. SRF, MBM)

  • Support decarbonisation and emissions targets in line with net-zero goals

  • Contribute to a multi-year CAPEX and plant debottlenecking programme

  • Use real-time data from DCS, PI systems, and PXP (FLS expert systems) to analyse plant performance

  • Prepare for the integration of AI-driven predictive control technologies

  • Engage in technical audits and cross-site knowledge sharing

  • Play a key role in future projects like carbon capture, calcined clays, and low-clinker cement innovation

    Requirements:

  • Degree-qualified in chemical engineering, materials science, or a related field

  • Minimum 5 years of cement process experience in a continuous, high-output environment

  • Skilled in kiln operations, clinker quality management, and process data analytics

  • Familiar with emissions targets, sustainability metrics, and energy efficiency initiatives

  • Hands-on experience with DCS/PI/PXP platforms; SCADA or model predictive control is a plus

  • Strong ownership mindset and commitment to continuous improvement

  • Collaborative approach with leadership potential

    Salary & Benefits:

  • £Very Competitive salary depending on experience

  • Annual bonus and private healthcare

  • Pension scheme

  • Relocation support and visa sponsorship may be considered

  • Full support for IChemE chartership

    This is a career-defining opportunity to shape the technical performance of a key UK cement plant and contribute to the industry's net-zero journey.

    Apply now quoting #(phone number removed) to learn more about how your cement process expertise could drive innovation and operational excellence

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.

Jobs

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.