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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using cutting-edge Microsoft technologies.
- Company: Victrex, a global leader in high-performance polymers with a focus on sustainability.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact through innovative data solutions.
- Qualifications: Experience in data engineering and strong programming skills required.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
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 a global leader in high‑performance polymers, serving sectors such as automotive, aerospace, energy, industrial, electronics and medical. We focus on developing advanced PEEK and PAEK solutions that deliver environmental and societal benefits to our customers. We are a company that values human‑centred leadership, curiosity, adaptability and collaboration, and we are committed to sustainability, diversity and inclusion. We are proud to be recognized as a ‘Disability Confident’ employer and a top performer in the FTSE Women Leaders Review for Women in Leadership and Women on Boards. Victrex values diversity and encourages applications from all sections of the community.
Senior Data Engineer employer: Victrex Manufacturing Limited
Contact Detail:
Victrex Manufacturing Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Azure Data Factory or Python. Having tangible examples of your work can really set you apart from the crowd.
✨Tailor Your Approach
When you’re reaching out to potential employers, make sure to tailor your message to their needs. Mention how your experience with ETL processes or cloud platforms aligns with their goals. Personalisation goes a long way!
✨Apply Through Our Website
We love seeing applications come through our website! It shows you’re genuinely interested in joining us at Victrex. Plus, it’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant technologies mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at Victrex. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any cool projects related to data engineering, make sure to mention them! Whether it's optimising ETL processes or implementing AI models, we want to know what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Victrex!
How to prepare for a job interview at Victrex Manufacturing Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the Microsoft technologies mentioned in the job description, like Azure Data Factory and Azure Databricks. Brush up on your SQL and NoSQL skills, as well as your experience with big data technologies like Spark or Kafka. Being able to discuss these confidently will show that you’re ready to hit the ground running.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you translated technical concepts for non-technical audiences, as this will demonstrate your communication prowess and ability to build strong stakeholder relationships.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially around designing and optimising data pipelines. Think of specific scenarios where you’ve implemented best practices in data architecture or tackled challenges in data governance and security. This will help you illustrate your hands-on experience effectively.
✨Understand the Business Context
Familiarise yourself with Victrex’s business model and how data engineering supports their goals. Be ready to discuss how your work can drive smarter decisions and improve operational performance. Showing that you understand the broader business processes will set you apart from other candidates.