At a Glance
- Tasks: Lead the delivery of innovative data platforms using Starburst/Trino across multi-cloud environments.
- Company: Capgemini, a global leader in technology and business transformation.
- Benefits: Hybrid working, extensive training opportunities, and a focus on employee wellbeing.
- Why this job: Join a team that values innovation and ethical practices while making a real-world impact.
- Qualifications: Expertise in Starburst/Trino, cloud engineering, and data governance required.
- Other info: Be part of a diverse and inclusive workplace with strong career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
This role focuses on leading end-to-end delivery of Starburst/Trino-based data platforms across multi-cloud environments. You will architect, deploy, and optimize large-scale distributed query engines while ensuring strong governance, security, and engineering best practices. The position requires hands-on expertise, leadership capability, and the ability to collaborate with global teams to modernize data ecosystems.
Hybrid Working
The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role
- Install, configure, tune, and administer Starburst Enterprise / Trino clusters across AWS, Azure, and GCP.
- Build and optimize distributed SQL workloads, connectors, and ETL/ELT pipelines using modern data-engineering tools.
- Lead technical design, performance engineering, troubleshooting, and production reliability initiatives.
- Implement strong IAM, security, governance, metadata, and lineage frameworks across the data platform.
- Provide technical leadership, guide engineers, manage delivery models (Agile/Waterfall), and collaborate with cross-functional teams.
Your Skills
- Hands-on expertise with Starburst/Trino setup, tuning, performance optimization, and cluster administration.
- Strong cloud engineering background with AWS, Azure, GCP, including Kubernetes, Terraform, Helm, and GitOps.
- Solid data engineering experience with Python, Spark, Databricks, Airflow, dbt, Kafka, and distributed query engines.
- Deep understanding of data lakes, object storage, data governance, metadata management, and security frameworks.
- Preferred exposure to Starburst Galaxy, cloud certifications (AWS/Azure/GCP), and data-virtualization platforms (Denodo, TIBCO DV, IBM DV, Dremio, Presto/Trino).
We are a Disability Confident Employer
Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident Scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process.
Make It Real (what Does It Mean For You)
You'd be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce as a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
You will be joining one of the World's Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.
Why you should consider Capgemini
Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you'll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses, and it's how you'll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you'll build the skills you want. You'll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.
Lead Starburst Data Engineer in London employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Starburst Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Starburst/Trino. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Starburst Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Starburst Data Engineer role. Highlight your hands-on expertise with Starburst/Trino and any relevant cloud engineering experience. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your experience makes you a perfect fit. Don’t forget to mention your leadership capabilities and collaborative spirit!
Showcase Your Projects: If you've worked on any projects involving distributed SQL workloads or data governance, make sure to showcase them. We love seeing real examples of your work that demonstrate your technical skills and problem-solving abilities.
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 candidates who take the initiative!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Tech Inside Out
Make sure you’re well-versed in Starburst/Trino setup, tuning, and performance optimisation. Brush up on your cloud engineering skills with AWS, Azure, and GCP, as well as tools like Kubernetes and Terraform. Being able to discuss these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Leadership Skills
Since this role involves leading teams and managing delivery models, be prepared to share examples of how you've successfully guided projects or teams in the past. Highlight your experience in Agile/Waterfall methodologies and how you’ve collaborated with cross-functional teams to achieve goals.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in data engineering and how you tackled them. Whether it’s troubleshooting performance issues or implementing security frameworks, showcasing your analytical skills will impress the interviewers.
✨Align with Company Values
Capgemini values ethical business practices and inclusivity, so make sure to express your alignment with these principles. Share any experiences that reflect your commitment to creating a positive work environment and how you can contribute to their mission of building a sustainable future.