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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 innovation.
- Benefits: Flexible remote work, competitive salary, and commitment to diversity and inclusion.
- Other info: Opportunities for career growth in a supportive and collaborative environment.
- Why this job: Join a dynamic team and make an impact through data-driven decision-making.
- Qualifications: Experience in data engineering and strong programming skills required.
The predicted salary is between 55000 - 65000 £ 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 in England 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 in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Victrex on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects, especially those using Azure technologies. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL, Python, and cloud platform skills. Consider mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Victrex team and contributing to their innovative projects.
We think you need these skills to ace Senior Data Engineer in England
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. Be sure to mention specific projects or experiences that relate to the role.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Mention your proficiency in SQL, NoSQL, and any programming languages like Python or Java. We love seeing hands-on experience with tools like Azure Data Factory or Apache Airflow, so make sure to include those!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 ETL/ELT tools. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated with data scientists, business analysts, or other stakeholders. Highlight your communication skills and how you’ve translated technical concepts for non-technical audiences.
✨Demonstrate Problem-Solving Abilities
Think of a few challenges you’ve faced in previous roles related to data engineering and how you overcame them. This could involve optimising data pipelines or implementing data governance frameworks. Showing that you can tackle problems head-on will resonate well with the interviewers.
✨Understand the Bigger Picture
Familiarise yourself with Victrex’s business goals and how the data engineering role fits into their overall strategy. Be ready to discuss how your work can support innovation and operational performance. This shows that you’re not just focused on the technical side but also understand the impact of your role on the organisation.