GCP Data Engineer in Manchester

GCP Data Engineer in Manchester

Manchester Full-Time 50000 - 50000 € / year (est.) Home office (partial)
British Cycling UK

At a Glance

  • Tasks: Design and build scalable data pipelines on Google Cloud Platform.
  • Company: Join British Cycling, promoting inclusivity and social impact through cycling.
  • Benefits: Competitive salary, generous holidays, cycle to work scheme, and life assurance.
  • Other info: Hybrid working available with excellent career growth opportunities.
  • Why this job: Make a real impact in cycling while working with cutting-edge data technologies.
  • Qualifications: Experience with GCP, Python, SQL, and data engineering best practices.

The predicted salary is between 50000 - 50000 € per year.

Salary: Up to £50,000 per annum (dependent on experience)

Contract: 18 month fixed-term contract

Location: Manchester (hybrid working available)

About British Cycling

British Cycling exists to bring the joy of cycling to everyone. We have embarked on an exciting new journey, with a modernised commercial and events offering grounded in social impact and storytelling, harnessing the spotlight and inspiration of our athlete's performance on the world stage, and our growing portfolio of major events. We are working towards our three key priorities outlined in our strategy; to support and grow the sport to make cycling more inclusive and accessible, to lead on the world stage by winning and winning well, and to drive social impact by tackling inequalities through providing opportunities.

About the role

As a GCP Data Engineer, you will be responsible for designing, building, and operating end-to-end data platforms on Google Cloud Platform (GCP) and BigQuery. You will work closely with internal stakeholders, data analysts, and software engineers to ensure data is reliable, well-structured, and readily available for both real-time and batch use cases. This role is vital for insight delivery and reporting across British Cycling, and spans the full data lifecycle, including ingestion, storage, transformation, consumption and scaling GCP-based data infrastructure.

What will you be doing?

  • Design and build resilient, scalable data pipelines using GCP services such as BigQuery, DataForm.
  • Develop and manage data pipelines to ingest, process, and store structured and unstructured data from various sources (e.g. membership systems, surveys and products) into a central, well-structured data platform.
  • Work closely with the research and insights team to ensure data is trustworthy and robust, for clear interpretation that supports strategic decision‑making.
  • Assist in the design and development of data visualisation dashboards for extracting meaningful insights from the datasets.
  • Ensure data quality, governance, and best practices across all implementations.
  • Apply engineering best practices across the SDLC, including CI/CD, testing, and version control using Github.
  • Provide technical leadership, mentor team members, and guide design decisions.
  • Manage your own projects, ensuring deadlines are met and high-quality code is delivered.
  • Work closely with cross-functional teams to ensure alignment of project goals and deliverables.

What we’re looking for:

  • Strong hands‑on experience with Google Cloud Platform (BigQuery, Cloud Storage, etc.).
  • Strong hands‑on experience with visualisation tools such as Looker and Looker Studio.
  • Proven ability in Python, SQL, and experience with data lakes, warehousing, and data modelling.
  • Proven experience in DataForm or DBT.
  • A track record of delivering data engineering solutions in agile environments.
  • Experience in leading teams and managing end‑to‑end delivery.
  • Experience in large‑scale data transformation programs.
  • Strong problem‑solving and stakeholder management skills.
  • Proactive mindset with a focus on ownership and delivery.

To be considered for this role, you must already be eligible to work in the United Kingdom.

Desirable:

  • Experience with Agile methodologies.
  • Experience writing idiomatic Go.
  • Knowledge of data governance policies and best practice.

What are the perks?

  • Competitive Salary
  • Cycle to Work Scheme
  • Generous Holidays (25 days & bank holidays)
  • Holiday purchase scheme
  • Life Assurance
  • Pension

How to apply

Send us your CV and a short cover letter outlining your interest in the role and why you feel you meet the criteria via the apply button below. Applications close: 1st June 2026.

GCP Data Engineer in Manchester employer: British Cycling UK

British Cycling is an exceptional employer that champions inclusivity and social impact within the cycling community. Located in Manchester, we offer a hybrid working model, competitive salary, and generous holiday allowances, fostering a supportive work culture that prioritises employee growth and development. Join us to be part of a dynamic team dedicated to making cycling accessible for everyone while enjoying unique benefits like the Cycle to Work Scheme and life assurance.

British Cycling UK

Contact Detail:

British Cycling UK Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land GCP Data Engineer in Manchester

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at British Cycling. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

Tip Number 2

Show off your skills! Create a portfolio showcasing your GCP projects, data pipelines, and any cool visualisations you've built. This gives you a chance to demonstrate your expertise beyond just a CV.

Tip Number 3

Prepare for the interview by brushing up on common data engineering questions and scenarios. Think about how you’d tackle real-world problems using GCP and be ready to share your thought process.

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 team at British Cycling.

We think you need these skills to ace GCP Data Engineer in Manchester

Google Cloud Platform (GCP)
BigQuery
DataForm
Python
SQL
Data Lakes
Data Warehousing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the GCP Data Engineer role. Highlight your experience with Google Cloud Platform, data pipelines, and any relevant projects you've worked on. We want to see how your skills match 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 cycling and how your background makes you a great fit for British Cycling. Keep it concise but impactful – we love a good story!

Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with tools like BigQuery, Python, and SQL. We’re keen to see examples of how you've used these in past roles, especially in agile environments. Be specific!

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 don’t miss out on any important updates. Plus, it’s super easy!

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, especially BigQuery and Cloud Storage. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.

Showcase Your Data Pipeline Skills

Prepare to talk about your experience designing and building data pipelines. Have specific examples ready that demonstrate your ability to manage both structured and unstructured data, and how you ensure data quality and governance.

Be Ready for Technical Questions

Expect technical questions related to Python, SQL, and data modelling. Brush up on your coding skills and be prepared to solve problems on the spot, as this will showcase your problem-solving abilities and technical expertise.

Demonstrate Your Team Leadership

Since the role involves mentoring and guiding team members, be prepared to discuss your leadership style. Share examples of how you've led teams in the past, managed projects, and ensured alignment with project goals.