At a Glance
- Tasks: Lead the design and delivery of innovative cloud data platforms and analytics solutions.
- Company: Join a forward-thinking tech company focused on data-driven decision making.
- Benefits: Enjoy competitive salary, flexible working, and extensive professional development opportunities.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Make a significant impact on technology direction while mentoring future engineers.
- Qualifications: Expertise in data engineering, cloud platforms, and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
They are seeking a highly experienced Principal Data Engineering Lead to play a pivotal role in shaping the future of enterprise data platforms and analytics capabilities. This position combines hands-on technical leadership with strategic influence, helping to define engineering standards, guide architectural decisions, and accelerate the delivery of modern data solutions.
Working within a fast-paced, product-focused environment, you will collaborate with engineering teams, architects, product stakeholders, and business leaders to build scalable, cloud-based platforms that support advanced analytics, artificial intelligence, and data-driven decision making. This is an opportunity to make a lasting impact on technology direction while mentoring engineers and driving engineering excellence across multiple teams.
Key Responsibilities- Technical Leadership
- Provide technical direction and mentorship to engineering teams operating within agile delivery models.
- Serve as a senior technical authority, supporting complex solution design and resolving challenging engineering problems.
- Promote engineering best practices and elevate technical capability across the organisation.
- Architecture & Platform Strategy
- Partner with architecture teams to define scalable, resilient, and future-ready data platforms.
- Ensure alignment between engineering implementation and long-term technology strategy.
- Lead discussions around platform evolution, integration approaches, and cloud-native design patterns.
- Engineering Standards
- Establish and maintain development frameworks, coding principles, review practices, and operational standards.
- Drive consistency across teams through reusable patterns, governance models, and technical guidelines.
- Advocate for automation, reliability, and maintainability in all engineering activities.
- Solution Design & Innovation
- Transform complex business requirements into robust technical solutions.
- Champion modern engineering practices including infrastructure automation, CI/CD, observability, and platform scalability.
- Evaluate emerging technologies and identify opportunities to improve performance, efficiency, and future capabilities.
- Support the adoption of data and AI technologies across the organisation.
- Quality & Operational Excellence
- Implement comprehensive testing, validation, monitoring, and performance optimisation processes.
- Ensure data products meet high standards of reliability, security, and accuracy.
- Promote proactive management of platform health, availability, and operational risk.
- Stakeholder Engagement
- Work closely with senior leaders, product managers, architects, and engineering teams to define priorities and roadmaps.
- Translate complex technical concepts into clear business language for non-technical audiences.
- Influence strategic decisions through technical expertise and evidence-based recommendations.
- Data Engineering Expertise
- Extensive experience designing and delivering large-scale data platforms in cloud environments.
- Deep understanding of distributed data processing, enterprise data architecture, and modern data engineering practices.
- Strong software engineering skills using Python and/or JavaScript-based technologies.
- Experience implementing automated deployment pipelines and DevOps practices.
- Advanced Data Management
- Expert-level SQL skills, including query optimisation and performance tuning.
- Experience developing scalable data models, semantic layers, and analytical datasets.
- Strong understanding of data quality management, validation frameworks, and governance principles.
- Knowledge of data profiling, anomaly detection, and analytical methodologies.
- Leadership & Communication
- Proven ability to lead technical initiatives across multiple teams.
- Strong stakeholder management and influencing skills.
- Ability to simplify highly technical concepts for a wide range of audiences.
- Experience mentoring engineers and supporting professional development.
- Strategic Thinking
- Capable of balancing immediate delivery needs with long-term platform objectives.
- Strong understanding of how technology investments support broader business outcomes.
- Ability to identify opportunities for innovation and continuous improvement.
You will join a technology organisation focused on leveraging data, analytics, and intelligent automation to improve customer experiences, operational performance, and commercial outcomes. The engineering function is organised around product domains, bringing together specialists from data engineering, architecture, product management, and analytics. Principal-level engineers provide technical leadership, define standards, and ensure alignment across teams while helping shape future platform capabilities.
The role sits within a customer-focused domain responsible for developing and maintaining critical data products that support digital services, subscription offerings, connected technologies, and customer engagement initiatives. Teams work collaboratively on strategic programmes while continuously enhancing the underlying data ecosystem.
Rewards PackageThey provide a comprehensive rewards package designed to support your professional and personal wellbeing, including:
- Competitive salary and performance-based incentives
- Company pension scheme
- Private medical coverage
- Flexible and hybrid working arrangements
- Employee discounts across a range of products and services
- Professional development and learning opportunities
- Wellbeing programmes and employee support services
- Recognition and reward initiatives
- Access to exclusive events and employee experiences
We are committed to building an inclusive workplace where everyone can contribute and succeed. We welcome applications from candidates of all backgrounds and actively support diversity, equity, and belonging across our organisation.
Working ArrangementThis role operates within a hybrid model, combining remote work with regular collaboration at a modern office location. The workplace offers a range of facilities, social spaces, dining options, fitness amenities, and collaborative environments designed to support innovation and teamwork.
Additional InformationSuccessful candidates may be required to complete pre-employment screening, including background checks where appropriate for the role. Any employment offer will be subject to satisfactory completion of these checks.
Senior Cloud Data Engineer in London employer: SoTalent
Join a forward-thinking technology organisation that prioritises innovation and collaboration, offering a dynamic work environment for Senior Cloud Data Engineers. With a strong focus on professional development, competitive benefits, and a commitment to diversity and inclusion, this company fosters a culture where your contributions are valued and your career can thrive. Enjoy the flexibility of hybrid working arrangements while being part of a team dedicated to shaping the future of data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Data Engineer in London
✨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 projects, especially those related to cloud data engineering. This gives potential employers a tangible sense of what you can do and how you think.
✨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 and highlight your experience effectively.
✨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 about their job search!
We think you need these skills to ace Senior Cloud Data Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in cloud data engineering. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Include specific examples of projects where you've implemented cloud-based solutions or led engineering teams. We want to see your hands-on experience!
Be Clear and Concise:When writing your application, keep it clear and to the point. Avoid jargon unless it's relevant, and make sure your achievements stand out. We appreciate straightforward communication!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at SoTalent
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering expertise, especially in cloud environments. Be ready to discuss your experience with distributed data processing and how you've implemented modern data engineering practices in previous roles.
✨Showcase Your Leadership Skills
Prepare examples of how you've provided technical direction and mentorship to teams. Highlight any instances where you've led discussions around platform evolution or resolved complex engineering problems, as this will demonstrate your capability as a senior technical authority.
✨Speak Their Language
Since you'll be engaging with various stakeholders, practice translating complex technical concepts into simple terms. This will help you connect with non-technical audiences and show that you can influence strategic decisions effectively.
✨Be Ready for Innovation Talks
Think about how you've championed modern engineering practices like CI/CD and infrastructure automation. Be prepared to discuss emerging technologies you've evaluated and how they could improve performance and efficiency in data platforms.
