Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of data solutions on Google Cloud Platform.
- Company: Award-winning consultancy known for innovation in data engineering.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Shape data strategy and influence technical excellence in a collaborative environment.
- Qualifications: Proven experience with GCP, data pipelines, and team leadership skills.
- Other info: Join a culture that empowers technical specialists to thrive.
Join an award-winning innovation and transformation consultancy recognised for its cutting-edge work in data engineering, cloud solutions, and enterprise transformation. This organisation is known for bringing ingenuity to life, helping clients turn complexity into opportunity, and fostering a culture where technical specialists thrive and grow.
An opportunity has arisen for a Principal GCP Data Engineer to join the London-based data and analytics practice. This role offers the chance to lead the design and delivery of end-to-end data solutions on Google Cloud Platform for high-profile clients, shaping data strategy and driving technical excellence across complex programmes.
The Principal GCP Data Engineer is a senior technical role responsible for leading data engineering solutions, guiding teams, and acting as a subject matter expert in Google Cloud Platform. You will define end-to-end solution architectures, implement best practices, and lead the development of robust, scalable data pipelines. This role combines hands-on technical leadership with coaching, mentorship, and client engagement.
What You’ll Be Doing:
- Lead the design, development, and delivery of data processing solutions using GCP tools such as Dataflow, Dataproc, and BigQuery.
- Design automated data pipelines using orchestration tools like Cloud Composer.
- Contribute to architecture discussions and design end-to-end data solutions.
- Own development processes for your team, establishing robust principles and methods across architecture, code quality, and deployments.
- Shape team behaviours around specifications, acceptance criteria, sprint planning, and documentation.
- Define and evolve data engineering standards and practices across the organisation.
- Lead technical discussions with client stakeholders, achieving buy-in for solutions.
- Mentor and coach team members, building technical expertise and capability.
Key Responsibilities:
- Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam.
- Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes.
- Implement modern data pipeline patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions.
- Translate business requirements into technical specifications and actionable solution designs.
- Work with metadata management and data governance tools such as Cloud Data Catalog, Collibra, or Dataplex.
- Build data quality alerting and data quarantine solutions to ensure downstream reliability.
- Implement CI/CD pipelines with version control, automated tests, and automated deployments.
- Collaborate in Agile teams, using Scrum or Kanban methodologies.
Key Requirements:
- Proven experience delivering production-ready data solutions on Google Cloud Platform.
- Strong knowledge of batch and streaming frameworks, data pipelines, and orchestration tools.
- Expertise in designing and managing structured and unstructured data systems.
- Experience translating business needs into technical solutions.
- Ability to mentor and coach teams and guide technical decision-making.
- Excellent communication skills, with the ability to explain technical concepts to technical and non-technical stakeholders.
- A pragmatic approach to problem solving, combined with a drive for technical excellence.
Why Join:
- Take a senior technical leadership role within a globally recognised innovation and transformation consultancy.
- Lead the delivery of complex data engineering programmes on Google Cloud Platform.
- Shape the data engineering standards, practices, and architecture across client engagements and internal teams.
- Work in a collaborative, inclusive, and learning-focused culture where technical specialists are empowered to grow and succeed.
Principal GCP Data Engineer in Bristol employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal GCP Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. We all know that sometimes it’s not just what you know, but who you know that can help you land that Principal GCP Data Engineer role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or GitHub repository showcasing your projects and contributions to data engineering. This gives potential employers a taste of your skills and helps us stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your GCP tools and data pipeline patterns. We recommend practicing common interview questions and even doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal GCP Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal GCP Data Engineer role. Highlight your experience with Google Cloud Platform and data engineering solutions, and don’t forget to showcase any leadership roles you've had. We want to see how you can bring your unique skills to our team!
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 your experience aligns with our mission at StudySmarter. Be sure to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: In your application, make sure to highlight your technical skills relevant to the role, like your experience with Dataflow, Dataproc, and BigQuery. We love seeing candidates who can clearly articulate their technical prowess and how they’ve applied it in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Anson McCade
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific tools like Dataflow, Dataproc, and BigQuery. Prepare examples of how you've used these in past projects to showcase your hands-on experience.
✨Showcase Your Leadership Skills
As a Principal GCP Data Engineer, you'll be expected to lead teams and mentor others. Think of instances where you've guided a team or influenced technical decisions. Be prepared to share these stories during the interview to demonstrate your leadership capabilities.
✨Prepare for Technical Discussions
Expect to dive deep into technical discussions about data pipelines, ETL/ELT processes, and event-driven architectures. Brush up on your knowledge of batch and streaming frameworks, and be ready to explain complex concepts in a way that both technical and non-technical stakeholders can understand.
✨Understand the Business Context
It's crucial to translate business needs into technical solutions. Familiarise yourself with how data engineering impacts business outcomes. Be ready to discuss how you've aligned technical projects with business goals in your previous roles.
