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

Nominate & Attend

Data Engineering Manager

Victrex Manufacturing Ltd
Sheffield
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

At Victrex, we are dedicated to harnessing the power of data to drive innovation and deliver exceptional value. We are seeking a talented and experienced IT Data Engineering Manager to join our dynamic team and lead our data engineering efforts.


As Data Engineering Manager you will beresponsible for leading the data engineering team to design, build, and maintain scalable, high-performance data infrastructure and pipelines. This role ensures the availability, reliability, and security of data systems to support business intelligence, analytics, and data-driven decision-making. The Data Engineering Manager collaborates closely with data scientists, analysts, and process engineers to drive data strategy and best practices across the organisation.


Principal Responsibilities and Accountabilities:

  • Manage and mentor a team of data engineers and analysts, ensuring effective collaboration and knowledge sharing.
  • Oversee the design, implementation, and maintenance of scalable data pipelines using Microsoft Azure technologies (Azure Data Factory, Azure Synapse, Azure Data-bricks, etc.).
  • Define and enforce best practices for data architecture, governance, and security across the organization.
  • Develop and optimise ETL/ELT processes to support data analytics and AI-driven initiatives.
  • Collaborate with data scientists and process engineers to integrate machine learning models into production environments.
  • Ensure the performance, scalability, and cost-efficiency of data warehousing and lakehouse solutions.
  • Assess and implement emerging AI/ML technologies to improve data processing capabilities.
  • Engage with business stakeholders to understand data needs and translate them in-to technical solutions.
  • Ensure compliance with industry regulations and internal data governance policies.
  • Work closely with third-party suppliers and vendors who support data architecture initiatives, ensuring alignment with business objectives and technical standards.


Attributes &Experience

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • Proven experience in data engineering and team management, preferably in a dynamic and fast-paced environment.
  • Strong understanding of data architecture, data modelling, ETL/ELT processesand data pipeline development.
  • Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc).
  • Excellent communication and leadership skills, with the ability to engage and influence stakeholders at all levels.
  • Insightful problem-solving skills and strategic thinking abilities.
  • Ability to drive innovative solutions to complex data challenges.
  • A passion for staying updated with industry trends and emerging technologies.


Why Work With Us?

We offer a competitive starting salary ranging from £50,500 to £72,000 per annum, based on experience. Our benefits also include 29 days of annual leave plus bank holidays, and the possibility to purchase up to an additional two weeks of leave, a competitive pension scheme with employer contributions of up to 14%, annual bonus scheme, share options and private medical insurance. Plus much more!


If you are ready to lead, innovate, and make a real difference with an industry leader, apply today to join the Victrex team. We value innovation, collaboration, and equity, and we are dedicated to nurturing an inclusive work environment.


NO RECRUITMENT AGENCIES PLEASE.

At present, we are not accepting any candidates via a recruitment agency or third party.


About Victrex

Victrex is an innovative world leader in high-performance PEEK (Poly Ether Ether Ketone) and PAEK (Poly Aryl Ether Ketone) polymer solutions focusing on the strategic markets of automotive, aerospace, energy and industrial, electronics and medical. Every day, millions of people use products and applications containing our materials from smartphones, aeroplanes and cars to energy operations and medical devices.


With over 40 years experience, we are developing world leading solutions with PEEK and PAEK-based polymers and selected semi-finished and finished parts which enable environmental and societal benefit for our customers and our markets and drive value for our shareholders.


Vision and culture

At Victrex, we have a clear purpose: to deliver transformational and sustainable solutions that address global material challenges.


Our core values of passion, innovation, and performance are at the heart of everything we do. We are a company that thrives on human-centred leadership, valuing curiosity, adaptability, and collaboration in a fast-paced, digitally enabled world. We believe in empowering individuals, rather than seeing barriers to progress.


We are looking for individuals who are comfortable working in an environment that values digital and AI-driven solutions, who see technology as an enabler rather than a challenge. At Victrex, we foster a culture of continuous learning, agility, and adaptability, where employees are encouraged to embrace new ways of working, leverage data-driven insights, and drive meaningful change.


As we continue to evolve, we need people who are not just contributors but change accelerators individuals who champion innovation, and drive transformation with a growth mindset. Whether through digitalisation, process improvement, or human-centred leadership, our employees play a crucial role in shaping the future of our business.


Our leadership approach is built on empowerment, inclusion, and collaboration. We value people who lead with empathy and authenticity, fostering a workplace where diverse perspectives and ideas can thrive. We work hard to ensure that our teams are engaged, motivated, and equipped to navigate an ever-changing landscape.


Sustainability is core to our strategy. We are committed to reducing our environmental footprint while supporting society through our sustainable products and making a positive impact on our local communities. We are proud to be recognised as a Disability Confident employer and to be voted as one of the best places to work by The Sunday Times in 2024!


Victrex values diversity and encourages applications from allsections of the community.


JBRP1_UKTJ

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.

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.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.