Data Engineering Lead in London

Data Engineering Lead in London

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
Novatus Global

At a Glance

  • Tasks: Lead a team of Data Engineers while designing and optimising data pipelines.
  • Company: Join Novatus Global, a fast-growing RegTech SaaS provider shaping compliance innovation.
  • Benefits: Enjoy private medical insurance, flexible hours, and accelerated career progression.
  • Why this job: Make a real impact in regulatory compliance with cutting-edge technology.
  • Qualifications: Experience in leading teams and building data pipelines using Python and PySpark.
  • Other info: Be part of a supportive, inclusive culture with opportunities for professional growth.

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

Novatus Global is a Series B scale-up RegTech SaaS provider and boutique advisory firm, helping financial institutions manage their most complex regulatory requirements. We combine deep consulting expertise with cutting-edge SaaS solutions, enabling clients to strengthen compliance, enhance resilience, and drive sustainable growth. Our flagship SaaS platform, En:ACT, is a market-leading solution for regulatory transaction reporting and reconciliation across global regimes. En:ACT automates reporting, reconciles data across systems, and maps errors directly to regulatory rules, helping firms remediate quickly, reduce risk, and meet regulatory obligations with confidence.

Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance, ESG, Strategy, Data, and Operations. Unlike larger consultancies, we embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow with the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake’s global data platform, we are shaping the future of regulatory compliance through innovation in both advisory and technology.

As a Data Engineering Lead, you will manage a team of Data Engineers whilst remaining hands-on with delivery and architecture. You'll be providing technical leadership and mentorship to your team, and writing clean, maintainable, and well-tested code. You will be accountable for our configuration-driven data platform in Databricks, enabling non-engineers to define regulatory logic, and our Snowflake data warehouse, ensuring scalability, auditability, and fitness for client-facing regulatory use cases. You will set technical direction, drive standards, and ensure high-quality execution across the team.

You’ll join at a pivotal stage as we modernize our data infrastructure, migrating from Python scripts and MySQL to Databricks and Snowflake. Our systems power regulatory reporting for major financial institutions, requiring precision, traceability, and reliability.

What You'll Do

  • Own the architecture, roadmap and delivery for our configuration-driven data framework in Databricks and our Snowflake warehouse.
  • Manage and mentor a team of Data Engineers in a player/coach capacity.
  • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark.
  • Evolve a configuration-driven platform enabling non-engineers to define regulatory logic.
  • Ensure pipelines are auditable, lineage-aware, idempotent, and resilient in regulated environments.
  • Implement robust data quality controls including testing, validation, monitoring, and alerting.
  • Drive performance optimization across Spark and Snowflake workloads.
  • Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs.
  • Improve engineering standards, processes, and tooling across the data function.

Must-Haves

  • Experience leading an Engineering team.
  • Experience building data pipelines using Python and PySpark.
  • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments.
  • Able to write and optimize complex SQL queries on large data sets.
  • Strong data modeling and warehouse design fundamentals.
  • Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability).
  • Experience with modern cloud data platforms and orchestration tools.
  • Ability to translate complex regulatory requirements into technical specifications.
  • High ownership mindset and accountability for delivery and reliability.

Nice-to-Haves

  • Experience with Kafka or other event streaming platforms.
  • Hands-on experience with AWS cloud infrastructure.
  • Experience building new data platforms or modernizing legacy systems.
  • FinTech, RegTech, or financial services background.

Perks & Benefits

  • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access.
  • Life Insurance (4× salary) with Unum.
  • Unum’s Help@Hand: includes medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, and cancer support services for you, your partner, and your child(ren).
  • Employee Assistance Program.
  • Enhanced parental leave (maternity & paternity).
  • Professional qualification sponsorship.
  • Accelerated career progression based on performance, not tenure.
  • Holiday entitlement increases with tenure.
  • Flexible hours with core collaboration time.
  • Paid volunteering leave.
  • Gym & fitness discounts.
  • Quarterly socials, and office snacks & drinks.
  • Interest-based working groups to collaborate and innovate.

Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.

Data Engineering Lead in London employer: Novatus Global

At Novatus Global, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture, where innovation thrives and every team member's contributions are valued. Our commitment to employee growth is evident through accelerated career progression opportunities, professional qualification sponsorship, and a supportive environment that encourages continuous learning. Located in a dynamic sector, we offer competitive benefits including private medical insurance, enhanced parental leave, and flexible working hours, making us an ideal choice for those seeking meaningful and rewarding employment in the RegTech space.
Novatus Global

Contact Detail:

Novatus Global Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineering Lead in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. The more people know you’re on the hunt, the better your chances of landing that Data Engineering Lead role.

✨Tip Number 2

Prepare for those interviews! Brush up on your technical skills, especially around Databricks and Snowflake. Be ready to discuss your past projects and how you've led teams to success – we want to see that high ownership mindset in action!

✨Tip Number 3

Showcase your passion for regulatory compliance and data engineering. When you get the chance, share your thoughts on industry trends or challenges. This will help you stand out as someone who’s not just looking for a job, but genuinely interested in making an impact.

✨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, it shows you’re serious about joining Novatus Global and being part of our exciting journey.

We think you need these skills to ace Data Engineering Lead in London

Data Engineering
Technical Leadership
Mentorship
Databricks
Snowflake
Python
PySpark
Data Pipeline Design
SQL Query Optimization
Data Modelling
CI/CD
Data Quality Controls
Performance Optimization
Regulatory Compliance
Cloud Data Platforms

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineering Lead role. Highlight your experience with data pipelines, Python, and any leadership roles you've had. 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 regulatory technology and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.

Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with Databricks, Snowflake, and any other relevant tools. We love seeing candidates who can demonstrate their hands-on experience!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Plus, we can’t wait to see what you bring to the table!

How to prepare for a job interview at Novatus Global

✨Know Your Tech Stack

Make sure you’re well-versed in Databricks, Snowflake, and the tools mentioned in the job description. Brush up on your Python and PySpark skills, as well as your SQL querying abilities. Being able to discuss your experience with these technologies confidently will show that you're ready to hit the ground running.

✨Showcase Your Leadership Skills

As a Data Engineering Lead, you'll be managing a team. Prepare examples of how you've successfully led teams in the past, focusing on mentorship and technical guidance. Highlight any specific instances where your leadership made a measurable impact on project outcomes or team performance.

✨Understand Regulatory Requirements

Since Novatus Global operates in the RegTech space, it’s crucial to understand the regulatory landscape. Familiarise yourself with common compliance challenges faced by financial institutions and be ready to discuss how your technical solutions can address these issues effectively.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data engineering, especially in regulated environments, and how you overcame them. This will demonstrate your ability to think critically and adapt to complex situations.

Data Engineering Lead in London
Novatus Global
Location: London

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