At a Glance
- Tasks: Lead the design and delivery of global Master Data Management capabilities.
- Company: Join Specsavers, a leader in data strategy and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on collaboration.
- Why this job: Shape how master data is managed and make a real impact on customer experience.
- Qualifications: Proven experience in Customer MDM and strong data modelling skills.
The predicted salary is between 70000 - 90000 £ per year.
Are you passionate about mastering data at scale and shaping how an organisation manages its most critical information? At Specsavers, we’re looking for a Principal Data Engineer (MDM) to lead the design, evolution, and delivery of our global Master Data Management capability, at the heart of our data strategy. This is a fantastic opportunity to shape how master data is created, governed, and consumed across the business.
You’ll act as the technical authority for MDM, building scalable, multi-domain capabilities that support both operational excellence and customer experience. We’re particularly interested in candidates with proven experience delivering Customer MDM within complex, enterprise environments.
In this role, you’ll lead the engineering design and hands-on implementation of our MDM platform, with a focus on tools such as Stibo STEP. You’ll design and evolve data models, matching and merging rules, workflows, and validation frameworks to ensure data is accurate, trusted, and fit for purpose. You’ll work closely with product and business stakeholders to deliver flexible, scalable solutions aligned to real needs.
You’ll thrive if you’re a player-coach — comfortable being hands-on while setting direction and mentoring others. You’ll bring experience delivering Customer MDM across platforms, applying best practice in a vendor-agnostic way, and helping shape broader data strategy while guiding third-party partners.
What sets you apart is your depth of MDM expertise and ability to deliver. You’ll bring strong experience in data modelling, integration (CRM, ERP, APIs), and data governance, along with the ability to translate complex requirements into practical solutions. Experience with Stibo STEP is desirable, but broad MDM expertise is key.
If you’re excited to lead and shape a best-in-class MDM capability and drive trusted, high-quality customer data across Specsavers, we’d love to hear from you.
Principal Data Engineer in Guernsey employer: Specsavers
At Specsavers, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Principal Data Engineer, you will have the opportunity to lead transformative projects in a supportive environment that values professional growth and development. With a focus on employee well-being and a commitment to excellence, working at our location offers unique advantages, including access to cutting-edge technology and a chance to make a significant impact on our global data strategy.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer in Guernsey
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Specsavers!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Data Engineer at Specsavers.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Specsavers.
✨Apply Directly through Our Website
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We think you need these skills to ace Principal Data Engineer in Guernsey
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Specsavers, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Specsavers. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Specsavers
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Specsavers!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
