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 and cloud solutions.
- 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: Experience in GCP, data pipelines, and strong leadership skills.
- Other info: Join a culture that empowers technical specialists to thrive.
The predicted salary is between 76000 - 114000 £ per year.
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.
Locations
Principal GCP Data Engineer in Cardiff, Wales 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 Cardiff, Wales
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. 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 GCP projects and data engineering solutions. This will give potential employers a taste of what you can do and set you apart from the competition.
✨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 both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with the role of Principal GCP Data Engineer.
We think you need these skills to ace Principal GCP Data Engineer in Cardiff, Wales
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 GCP tools and data engineering solutions, and don’t forget to showcase your leadership skills and client engagement experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific projects where you've led data solutions or mentored teams, and show us your passion for data engineering.
Showcase Your Technical Skills: In your application, be sure to highlight your technical expertise in batch and streaming frameworks, as well as your experience with data pipelines and orchestration tools. We want to see how you can bring your skills to our team!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 architecture and pipeline design. Brush up on modern data pipeline patterns and be ready to explain how you've implemented them in previous roles. This will show your expertise and ability to contribute to architecture discussions.
✨Communicate Clearly with Examples
You’ll need to explain complex technical concepts to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely, using real-world examples to illustrate your points. This will help you connect with the interviewers and demonstrate your communication skills.
