At a Glance
- Tasks: Design and build reliable data platforms on GCP for impactful decision-making.
- Company: Join British Cycling UK, a leading organisation in the cycling community.
- Benefits: Enjoy a competitive salary, generous holidays, and a hybrid work model.
- Other info: Exciting opportunity to grow your skills in a dynamic environment.
- Why this job: Make a difference in cycling by transforming data into actionable insights.
- Qualifications: Hands-on experience with GCP, Python, SQL, and data visualisation tools.
The predicted salary is between 40000 - 50000 £ per year.
British Cycling UK in Manchester is hiring a GCP Data Engineer on an 18-month fixed-term contract. The role involves designing and building data platforms on GCP and ensuring data is reliable and well-structured for decision-making.
The ideal candidate will have strong hands-on experience with GCP, Python, and SQL, alongside expertise in data transformation and visualization tools.
This hybrid role offers a competitive salary and generous holidays.
GCP Data Engineer: Scalable Pipelines (Hybrid, Manchester) employer: British Cycling UK
British Cycling UK is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a GCP Data Engineer to thrive. With a focus on employee growth, the company offers ample opportunities for professional development and a competitive salary package, complemented by generous holiday allowances. Located in Manchester, this hybrid role allows for a balanced work-life integration while contributing to the advancement of cycling in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land GCP Data Engineer: Scalable Pipelines (Hybrid, Manchester)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at British Cycling UK on LinkedIn. A friendly chat can give us insider info and might just get our foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your GCP projects, Python scripts, and SQL queries. We want to demonstrate our hands-on experience and how we can add value to their data platforms.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on data transformation and visualisation tools. We should be able to discuss our approach to building scalable pipelines confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our skills align with the role at British Cycling UK.
We think you need these skills to ace GCP Data Engineer: Scalable Pipelines (Hybrid, Manchester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 British Cycling UK. Let us know what excites you about this opportunity!
Showcase Your Projects:If you've worked on any data transformation or visualisation projects, make sure to mention them. We love seeing practical examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at British Cycling UK
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific services like BigQuery, Dataflow, and how they can be used to build scalable data pipelines. We recommend preparing examples of past projects where you've successfully implemented these tools.
✨Show Off Your Python Skills
Since Python is a key part of the role, practice coding challenges or small projects that showcase your ability to manipulate data. We suggest being prepared to explain your thought process and any libraries you frequently use, like Pandas or NumPy, during the interview.
✨SQL Queries Are Your Best Friend
Brush up on your SQL skills, as you'll likely face questions about writing complex queries. We advise practising common SQL problems and being ready to discuss how you've used SQL for data transformation in previous roles. Highlight any experience with performance tuning as well!
✨Visualisation Matters
Data visualisation is crucial for decision-making, so be prepared to talk about the tools you've used, such as Tableau or Looker. We suggest bringing examples of dashboards or reports you've created, and explaining how they helped stakeholders make informed decisions.
