Senior Process Engineer - Cement

Stockport
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer x1/ Data Engineer x1 (Financial Services)

Senior Data Engineer, Databricks, Home Based

Senior Data Engineer (Scala)

Senior Data Engineer (Scala)

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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.

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.