At a Glance
- Tasks: Lead and optimise data pipelines, ensuring top-notch architecture and data quality.
- Company: Join a forward-thinking company transforming data landscapes in East London/Essex.
- Benefits: Hybrid working, competitive salary up to £75k, and opportunities for professional growth.
- Other info: Exciting role with potential for leadership and career advancement.
- Why this job: Make a real impact by modernising data platforms and leading a talented team.
- Qualifications: Strong SQL skills and experience with Microsoft Fabric and data engineering principles.
The predicted salary is between 75000 - 75000 € per year.
A Lead Data Engineer is required for a transformational role. With Fabric already in place, the focus is now on maturing the environment from Bronze through to Gold over the next 12–18 months—improving architecture, data quality, and overall platform capability.
This is a hands-on leadership role, acting as the senior technical escalation point while helping shape best practice, refine existing pipelines, and drive data modernisation across a complex data landscape.
Key Responsibilities- Design, build and optimise scalable data pipelines within Microsoft Fabric (Lakehouse, Data Engineering, Data Warehouse, Data Integration)
- Refine and enhance existing pipelines and architecture to align with best practice
- Lead the transition of the platform from Bronze to Gold standard
- Develop and fine-tune complex SQL queries, transformations, and data models
- Support and troubleshoot data issues impacting reporting (e.g. Power BI refresh failures)
- Take ownership of data quality, governance, and platform reliability
- Act as the technical escalation point for a team of Data Engineers
- Lead, mentor, and support a small team (3 engineers)
- Work across multiple data sources (enterprise systems and bespoke applications) feeding into a Lakehouse
- Engage stakeholders across the business to improve data quality and consistency
- Strong hands-on SQL expertise, including performance tuning
- Proven experience with Microsoft Fabric and Synapse (design, architecture, implementation)
- Experience working with Lakehouse architecture and multiple data sources
- Demonstrable experience modernising data platforms (e.g. Bronze to Gold maturity) or consolidating data into a central platform
- Strong understanding of data engineering principles, governance, and data quality
- Experience delivering and supporting production-grade data solutions
- Ability to act as a senior technical escalation point and lead delivery
- Strong stakeholder engagement skills, particularly around data quality challenges
- Microsoft certifications (e.g. DP-600, DP-900)
- Experience managing or mentoring engineers (or readiness to step into leadership)
- Exposure to DevOps / CI-CD practices within data engineering
- Experience in complex or enterprise environments
Interviews are planned for May. Please apply today for an immediate CV review.
Kinetech is acting as a recruiter in relation to this hire. Please see our website for details on how we handle your data.
Lead Data Engineer in London employer: Kinetech
Kinetech is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to lead a small team of Data Engineers while working on cutting-edge data solutions in a hybrid setting, allowing for a balanced work-life integration. Located in East London/Essex, our culture promotes continuous learning and development, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies you're interested in. A personal referral can make all the difference!
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL skills and understanding Microsoft Fabric inside out. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your leadership skills! If you've mentored others or led projects, be ready to discuss these experiences. Employers love to see candidates who can not only do the job but also inspire and guide their teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for talented individuals to join our team!
We think you need these skills to ace Lead Data Engineer in London
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 SQL expertise and any experience with Microsoft Fabric, as these are key for us.
Showcase Your Projects:Include specific examples of projects where you've modernised data platforms or improved data quality. We love seeing how you've tackled challenges in complex environments!
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points to make your achievements stand out and ensure we can quickly see your relevant experience.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates!
How to prepare for a job interview at Kinetech
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially with Microsoft Fabric and SQL. Brush up on your knowledge of Lakehouse architecture and be ready to discuss how you've improved data quality and governance in past roles.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully guided others, resolved conflicts, or driven projects forward. Highlight your experience in acting as a technical escalation point.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to solve problems on the spot, such as optimising SQL queries or troubleshooting data issues. Practise explaining your thought process clearly and concisely.
✨Engage Stakeholders Effectively
Since stakeholder engagement is key, think of instances where you've collaborated with different teams to enhance data quality. Be prepared to discuss how you’ve communicated complex data concepts to non-technical stakeholders and the impact it had on the project.
