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- Tasks: Design and build data pipelines using GCP and BigQuery while leading exciting projects.
- Company: Join a specialist media organisation investing in data, BI, technology, and AI.
- Benefits: Enjoy a competitive salary, bonus scheme, uncapped leave, and wellbeing support.
- Other info: Work in a dynamic team with excellent career growth opportunities in a hybrid role.
- Why this job: Make a real impact by modernising data systems and collaborating with stakeholders.
- Qualifications: Strong experience in data engineering, Python, and cloud platforms like GCP or AWS.
The predicted salary is between 55000 - 60000 £ per year.
Method Resourcing are supporting a specialist media organisation, as they continue to invest heavily across data, BI, technology, and AI. This is a particularly exciting time to join as they are modernising their data estate across multiple parts of the business.
The role: This is more of a senior, autonomous position suited to someone who enjoys owning delivery, leading projects, and working closely with stakeholders. While there is some responsibility for supporting legacy systems, the focus of the role is firmly on the future - building, shaping, and delivering data pipelines into GCP and BigQuery.
You'll be part of a small, focused team, working across cloud-native workflows and Python-driven data engineering. The role requires strong communication skills, as you'll regularly handle requests, prioritise work, and explain technical decisions to non-technical stakeholders.
Experience with other cloud platforms (ideally AWS) is transferable - the key requirement is strong cloud data engineering fundamentals.
What you'll be working on:
- Designing, building, and maintaining data pipelines feeding GCP and BigQuery
- Supporting the transition from legacy SQL-based systems into cloud-native architectures
- Day-to-day Python development within a modern cloud environment
- Delivering and leading data engineering projects end-to-end - from scoping through to deployment
- Working with cloud workflows and orchestration tools to improve reliability and automation
- Collaborating with stakeholders across the business to understand data requirements and deliver solutions
- Maintaining and improving existing pipelines while reducing manual processes and technical debt
What we're looking for:
- Strong experience as a Data Engineer
- Hands-on Python experience for cloud data engineering
- Experience working with GCP or strong transferable cloud experience like AWS
- Experience across ETL, data pipelines, and data warehousing
- Ability to lead pieces of work independently and handle stakeholder requests
- Comfortable working across both modern platforms and some legacy systems
- SQL/SSIS exposure (nice to have)
- Experience supporting or migrating legacy data platforms (nice to have)
This role requires 3 days per week in the Bath office. Please ensure you've considered travel and location before applying.
Benefits:
- Bonus and profit-share scheme
- Uncapped leave
- Pension scheme
- 25 days holiday + BH's
- Share incentive plan
- Wellbeing and support benefits + more!
If this sounds of interest, please apply or contact for more information.
Locations
Data Engineer (GCP) in Bath, Somerset employer: Method-Resourcing
Contact Detail:
Method-Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (GCP) in Bath, Somerset
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving GCP and Python. Having tangible examples of your work can really set you apart from other candidates.
✨Ace the Interview
Prepare for your interviews by practising common data engineering questions and scenarios. Be ready to discuss your experience with cloud platforms and how you’ve tackled challenges in past projects. Confidence is key!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing the role. We love seeing applications directly from candidates who are genuinely interested in joining our team!
We think you need these skills to ace Data Engineer (GCP) in Bath, Somerset
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GCP, BigQuery, and Python. 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 excited about this role and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills: Since you'll be working closely with stakeholders, it's important to demonstrate your ability to communicate complex ideas clearly. We recommend including examples in your application that highlight your communication prowess.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Method-Resourcing
✨Know Your Tech Inside Out
Make sure you brush up on your GCP and BigQuery knowledge. Be ready to discuss how you've designed and built data pipelines in the past, and be prepared to explain your Python projects. The more specific examples you can provide, the better!
✨Show Off Your Communication Skills
Since this role involves working closely with stakeholders, practice explaining complex technical concepts in simple terms. Think about how you would describe your previous projects to someone without a technical background. This will demonstrate your ability to bridge the gap between tech and non-tech teams.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges, like migrating legacy systems or improving existing data pipelines. Think through your past experiences and be ready to share how you approached similar situations, focusing on your problem-solving skills.
✨Research the Company Culture
Get a feel for the company’s values and culture by checking out their website and social media. Understanding their focus on modernising their data estate can help you tailor your answers to show how you align with their goals and how you can contribute to their exciting journey.