Senior Data Engineer

Victrex
Lancashire
1 week ago
Create job alert

At Victrex, we are committed to harnessing the power of data to drive smarter decisions, improve operational performance, and support innovation across the organisation. We’re now looking for a Senior Data Engineer to join our growing data and digital capability.


About The Role
As a Senior Data Engineer, you’ll play a key role in designing, building and maintaining scalable, high‑performance data infrastructure and pipelines. You’ll ensure our data systems are reliable, secure and optimised to support analytics, business intelligence and AI‑driven initiatives.


Working closely with Data Engineers, Power BI Developers, Process Engineers, Business Analysts and subject matter experts, you’ll embed best practice in data engineering and data management across Victrex.


This role offers the flexibility of working predominantly from home, with occasional on‑site meetings or activities at Hillhouse.


What You’ll Be Doing

  • Designing, implementing and maintaining scalable data pipelines using Microsoft technologies including Azure Data Factory, Azure Synapse, Azure Databricks and Fabric.
  • Defining and enforcing best practices in data architecture, governance and security.
  • Developing and optimising ETL/ELT processes in support of analytics and AI initiatives.
  • Collaborating with data scientists and process engineers to integrate ML and LLM models into production environments.
  • Managing performance, scalability and cost‑efficiency of our data warehouse and lakehouse solutions.
  • Evaluating and implementing emerging AI/ML technologies to enhance data processing capability.
  • Translating business needs into technical solutions through close stakeholder engagement.
  • Ensuring compliance with internal governance and external regulatory requirements.
  • Working with external suppliers and partners to support our data architecture roadmap.

What We’re Looking For

  • Demonstrable experience in designing and optimising data pipelines for structured and unstructured data.
  • Strong experience with DevOps and CI/CD methodologies.
  • Proficiency in SQL and NoSQL database design and data modelling.
  • Hands‑on experience with cloud platforms (Azure, AWS or GCP) and big data technologies such as Spark, Hadoop or Kafka.
  • Strong programming skills in Python, Java or Scala.
  • Deep understanding of ETL/ELT tools such as Apache Airflow, dbt or Informatica.
  • Experience implementing data governance, data security and compliance frameworks.
  • Excellent communication skills with an ability to translate technical concepts for non‑technical audiences.
  • Proven ability to collaborate across functions and build strong stakeholder relationships.
  • Good understanding of broader business processes and organisational goals.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering or a related field (desirable).
  • Relevant professional experience in data engineering (essential).

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 of 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’ not just once, but for two years in succession! A testament to our people‑first culture, where innovation and adaptability thrive in a digital‑first, AI‑driven workplace; we are proud to have once again retained this very prestigious award!

As well as being recognised as one of the ‘Most Admired Companies in the Chemical Sector’ by The London Stock Exchange: Recognition of our commitment to excellence, transformation, and data‑driven insights, empowering every team member to embrace change and drive success.

We’re also delighted to be acknowledged as a top performer in the FTSE Women Leaders Review for Women in Leadership and Women on Boards! Victrex has been ranked joint 4th among UK‑listed FTSE 250 companies, standing alongside much larger peers.

Our aim is to provide the support of accessibility and community within Victrex for everyone. So, if you need any help, advice or just want a confidential chat regarding any Diversity, Equity or Inclusion matters even before you apply to Victrex, then here is what you need to know:

The enabling support that Victrex prides itself on giving, starts from when anyone applies or wants to apply to join our team.

We are always here to help provide any ‘reasonable adjustments’ you may need during your application process. So please contact us to discuss your specific requirements in more depth.

We even have a dedicated email that anyone can use to reach out for help, advice, and a confidential chat......whatever you need to know, and to help ensure an equitable solution, that’s right for you, right from the start!

That email is:

Victrex values diversity and encourages applications from all sections of the community.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior 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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.