Lead Data Engineer - GCP
Lead Data Engineer - GCP

Lead Data Engineer - GCP

Full-Time 48000 - 84000 £ / year (est.) Home office (partial)
Capco

At a Glance

  • Tasks: Design and build scalable data pipelines using GCP for top financial institutions.
  • Company: Join Capco, a leader in digital transformation for financial services.
  • Benefits: Enjoy competitive pay, flexible holidays, and extensive training opportunities.
  • Why this job: Shape the future of finance with innovative cloud-first data solutions.
  • Qualifications: Experience with GCP, Python, SQL, and strong communication skills required.
  • Other info: Inclusive culture that values diversity and offers excellent career growth.

The predicted salary is between 48000 - 84000 £ per year.

Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Shape the future of financial services through cloud-first data innovation.

The Role

We’re looking for a Principal GCP Data Engineer to join our growing Technology & Engineering team in London. You’ll work with Tier 1 financial institutions on cutting-edge transformation programmes, using your deep expertise in Google Cloud Platform to build robust, scalable data solutions. This role is ideal for engineers who thrive on innovation, take ownership of challenges, and enjoy working in collaborative, agile teams.

What You’ll Do

  • Design and build resilient, scalable data pipelines using GCP services such as BigQuery, Dataflow, and Dataproc.
  • Collaborate closely with clients to define business requirements and architect fit-for-purpose data solutions.
  • Apply engineering best practices across the SDLC, including CI/CD, testing, and version control using Git.
  • Lead in the development of robust, tested, and fault-tolerant data engineering solutions.
  • Support and mentor junior engineers, contributing to knowledge sharing across the team.

What We’re Looking For

  • Strong hands‑on experience with GCP including BigQuery, Pub/Sub, Cloud Composer, and IAM.
  • Proven ability in Python, SQL, and PySpark; experience with data lakes, warehousing, and data modelling.
  • Demonstrated knowledge of DevOps principles, containerisation, and CI/CD tools such as Jenkins or GitHub Actions.
  • A track record of delivering data engineering solutions in agile environments.
  • Confident communication skills, able to convey technical concepts to non‑technical stakeholders.

Bonus Points For

  • Experience with real‑time streaming tools like Kafka or Spark Streaming.
  • Exposure to MLOps practices and maintaining ML models in production.
  • Familiarity with data visualisation tools such as Power BI, Qlik, or Tableau.
  • Experience of developing applications on VertixAI is preferable.
  • Knowledge of both SQL and NoSQL solutions, and the ability to assess trade‑offs between ETL and ELT.

Why Join Capco

  • Deliver high‑impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people‑first benefits package designed to support every aspect of your life:

  • Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
  • Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in‑house first aiders.
  • Family‑Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
  • Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
  • Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
  • Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e‑learning—your growth, your way. Also, Business Coach assigned from Day One: Get one‑on‑one guidance to fast‑track your goals and accelerate your development.
  • Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco

We’re committed to a barrier‑free, inclusive recruitment process. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture champions diversity, equity and inclusivity, and we bring a collaborative mindset to our partnerships with clients and colleagues. #BeYourselfAtWork is the cornerstone of our success and a value that our employees live and breathe every day.

Lead Data Engineer - GCP employer: Capco

Capco is an exceptional employer that fosters a collaborative and entrepreneurial culture, perfect for those looking to make a significant impact in the financial services sector. With a strong focus on continuous learning and professional development, employees benefit from a comprehensive training programme, generous leave policies, and a supportive work environment that prioritises mental health and family-friendly initiatives. Join us in London to shape the future of digital transformation while enjoying a competitive benefits package tailored to support your personal and professional growth.
Capco

Contact Detail:

Capco Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer - GCP

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work with GCP or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving BigQuery, Dataflow, or any GCP services. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and how you've tackled challenges in previous roles. Confidence is key!

✨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 Lead Data Engineer - GCP

Google Cloud Platform (GCP)
BigQuery
Dataflow
Dataproc
Python
SQL
PySpark
DevOps principles
CI/CD
Git
Agile methodologies
Communication Skills
Data Lakes
Data Warehousing
Data Modelling

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data Engineer role. Highlight your hands-on experience with GCP, Python, and SQL, and don’t forget to mention any relevant projects you've worked on!

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 background aligns with our mission at StudySmarter. Be sure to mention your collaborative spirit and innovative mindset.

Showcase Your Projects: If you’ve worked on any cool data engineering projects, make sure to include them in your application. Whether it's building data pipelines or using tools like BigQuery, we want to see what you can do!

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 the role. Plus, it’s super easy!

How to prepare for a job interview at Capco

✨Know Your GCP Inside Out

Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery, Dataflow, and Pub/Sub. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role you're interviewing for.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. This is your chance to demonstrate your ownership of projects and your innovative approach to problem-solving.

✨Communicate Clearly with Non-Technical Stakeholders

Practice explaining complex technical concepts in simple terms. You'll likely need to convey your ideas to clients who may not have a technical background, so being able to communicate effectively is key.

✨Emphasise Collaboration and Mentorship

Highlight your experience working in agile teams and mentoring junior engineers. Discuss how you contribute to knowledge sharing and support team growth, as this aligns well with the collaborative culture they're looking for.

Lead Data Engineer - GCP
Capco

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