At a Glance
- Tasks: Design and optimise data pipelines to transform complex data into actionable insights.
- Company: Join PizzaExpress, a dynamic company at the forefront of data-driven decision-making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a growing data team and influence the future of data engineering.
- Why this job: Make a real impact on how data shapes business strategies in a collaborative environment.
- Qualifications: Strong SQL and Snowflake skills, with experience in ETL/ELT and data warehousing.
The predicted salary is between 63000 - 77000 £ per year.
Love turning complex data into powerful business insight? We're looking for a
Data Platform Engineer to help build and evolve the data platform that powers decision-making across Pizza Express.
You'll design and optimise Snowflake data pipelines, create trusted data models, and help deliver scalable, high-quality data products that support everything from finance and operations to customer and loyalty insights.
- What you'll be doing
- Designing and supporting Snowflake ELT pipelines
- Building robust data models and data marts
- Improving data quality, governance and security
- Optimising platform performance and costs
- Partnering with stakeholders to turn business needs into data solutions
- Helping shape the future of our data engineering roadmap
- What you'll bring
- Strong SQL and Snowflake experience
- A background in ETL/ELT and data warehousing
- Solid understanding of dimensional modelling
- Experience with Python, Git and engineering best practices
- A collaborative mindset and passion for solving problems with data
Why join us?
You'll play a key role in building the data foundations that support Pizza Express and Milano, influencing how data is used across the business while working with modern technologies and a growing data function.
#J-18808-Ljbffr
Data Platform Engineer in Uxbridge employer: PizzaExpress (Restaurants) Limited
As a Senior Brand Manager at our company, you'll be part of a dynamic and inclusive work culture that values creativity and collaboration. We offer flexible working arrangements, competitive compensation, and a range of benefits designed to support your professional growth and work-life balance. Join us in a vibrant location where you can make a significant impact on global brand strategies while enjoying the support of a dedicated team.
Contact Details:
PizzaExpress (Restaurants) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in Uxbridge
✨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 PizzaExpress (Restaurants) Limited!
✨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 Data Platform Engineer at PizzaExpress (Restaurants) Limited.
✨Leverage Professional Networks
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 PizzaExpress (Restaurants) Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Engineer at PizzaExpress (Restaurants) Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Platform Engineer in Uxbridge
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 PizzaExpress (Restaurants) Limited, 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 PizzaExpress (Restaurants) Limited. 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 PizzaExpress (Restaurants) Limited
✨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 PizzaExpress (Restaurants) Limited!
✨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.
