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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 heavily in data and technology.
- Benefits: Enjoy a competitive salary, uncapped leave, and a bonus scheme.
- Why this job: Make a real impact by modernising data systems and working with cutting-edge tech.
- Qualifications: Strong experience in data engineering and hands-on Python skills required.
- Other info: Hybrid work model with 3 days in Bath and excellent career growth opportunities.
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 will 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 will 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 will 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 are 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)
Working pattern: This role requires 3 days per week in the Bath office. Please ensure you have 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.
Data Engineer (GCP) in Bath 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving GCP and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Engineer (GCP) in Bath
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 your background makes you a perfect fit. We love seeing genuine enthusiasm for data engineering.
Showcase Your Communication Skills: Since you'll be working closely with stakeholders, it's important to demonstrate your ability to communicate complex ideas clearly. Include examples in your application where you've successfully explained technical concepts to non-technical folks.
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’re considered for this exciting opportunity. Don’t miss out!
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 in detail. 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 and leadership abilities.
✨Research the Company Culture
Take some time to understand the company’s values and culture. This will help you tailor your answers to align with what they’re looking for. Plus, it shows that you’re genuinely interested in the role and the organisation, which can set you apart from other candidates.