At a Glance
- Tasks: Lead data enhancements and build robust data pipelines for impactful solutions.
- Company: Join the Intellectual Property Office, shaping systems for creators and innovators.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a forward-thinking team with excellent career development opportunities.
- Why this job: Make a real difference in data infrastructure while exploring new technologies.
- Qualifications: Experience in data engineering and a passion for solving complex challenges.
The predicted salary is between 40000 - 50000 € per year.
About the role
Join the Intellectual Property Office (IPO) and help shape the systems that support businesses, creators and innovators across the UK and beyond. This is a brilliant opportunity to work on enterprise-scale data services, driving improvements that keep systems reliable, scalable and ready for the future. You’ll be part of a forward-thinking Digital, Data and Technology team, working with modern tools and approaches to deliver high-quality services that make a real difference.
As a Senior Data Engineer, you’ll play a key role in designing, building and improving IPO’s data infrastructure. Working within a multidisciplinary delivery team, you’ll develop robust data services and solutions that support both internal teams and external users. This is a hands-on technical role where you’ll build and optimise data pipelines, support cloud-based platforms, and help ensure data is accessible, reliable and reusable across the organisation. You’ll also have the opportunity to explore new technologies and contribute to building a strong, modern data engineering capability. The role follows a hybrid working model, with time split between home working and the Newport office.
What you’ll be doing:
- Lead and deliver data enhancements, using the team’s tools and expertise to drive improvements.
- Build, own and maintain data pipelines and data engineering solutions.
- Develop and optimise ETL processes to improve performance and efficiency.
- Support integration of data across internal and external systems.
- Work closely with Data Management and Business Intelligence teams to improve data access and usability.
- Collaborate with stakeholders to understand user needs and shape data solutions.
- Apply data engineering approaches to solve complex business challenges.
- Support the organisation’s wider vision for how data is used across IPO.
- Contribute to building a high-performing data engineering capability.
Locations
Senior Data Engineer - Intellectual Property Office - SEO in Newport, Wales employer: Onyx-Conseil
The Intellectual Property Office (IPO) is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong focus on employee growth, you will have access to modern tools and technologies while working in a hybrid model that promotes work-life balance. Join us in Newport, where your contributions will directly impact the future of data services, making a meaningful difference for businesses and creators across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Intellectual Property Office - SEO in Newport, Wales
✨Tip Number 1
Network like a pro! Reach out to current employees at the Intellectual Property Office on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering expertise. When you get the chance, share it during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready for technical challenges! Brush up on your ETL processes and cloud platforms. Expect some practical tests or case studies during the interview, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at IPO.
We think you need these skills to ace Senior Data Engineer - Intellectual Property Office - SEO in Newport, Wales
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, ETL processes, and any cloud-based platforms you've worked with. 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 mission at the IPO. Be sure to mention specific projects or technologies that excite you.
Showcase Your Technical Skills:In your application, don't forget to showcase your technical skills. Mention any relevant tools or programming languages you’re proficient in, especially those related to data services and solutions. We love seeing hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around building and optimising data pipelines. Be ready to discuss your experience with ETL processes and cloud-based platforms, as these are key aspects of the role.
✨Understand the IPO's Mission
Familiarise yourself with the Intellectual Property Office's goals and how they use data to support businesses and creators. This will help you tailor your answers to show how your skills can contribute to their mission.
✨Prepare for Technical Questions
Expect some technical questions that test your problem-solving abilities. Think about complex business challenges you've faced in the past and how you applied data engineering approaches to solve them.
✨Show Your Collaborative Spirit
Since the role involves working closely with various teams, be prepared to discuss your experience collaborating with stakeholders. Highlight examples where you’ve successfully understood user needs and shaped data solutions accordingly.
