At a Glance
- Tasks: Lead a team of Data Engineers while designing and optimising data pipelines.
- Company: Join a fast-growing RegTech SaaS provider shaping the future of compliance.
- Benefits: Enjoy private medical insurance, flexible hours, and accelerated career progression.
- Other info: Be part of an inclusive culture that values innovation and collaboration.
- Why this job: Make a real impact in financial compliance with cutting-edge technology.
- Qualifications: Experience in leading teams and building data pipelines using Python and PySpark.
The predicted salary is between 80000 - 100000 £ 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 City of London employer: Novatus
Contact Detail:
Novatus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching Novatus Global and understanding their products, especially En:ACT. Tailor your responses to show how your skills align with their mission of enhancing compliance and driving growth.
✨Tip Number 3
Showcase your hands-on experience! Be ready to discuss specific projects where you've led teams or built data pipelines. Highlight your technical leadership and how you've driven results in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at Novatus Global.
We think you need these skills to ace Data Engineering Lead in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineering Lead role. Highlight your experience with data pipelines, Python, and team leadership, so we can see how you fit into our vision at Novatus Global.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Include specific examples of projects where you've designed auditable data pipelines or worked with Databricks and Snowflake. We love seeing real-world applications of your skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless necessary. We appreciate straightforward communication that gets to the heart of your experience.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Novatus
✨Know Your Tech Inside Out
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, and be ready to discuss how you've built data pipelines in the past. This will show that you can hit the ground running.
✨Showcase Your Leadership Skills
As a Data Engineering Lead, you'll need to manage and mentor a team. Prepare examples of how you've successfully led teams before, focusing on your coaching style and how you’ve driven performance. Highlight any experience you have in fostering collaboration and improving engineering standards.
✨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 and be ready to discuss how your technical solutions can address these issues. This will demonstrate your ability to translate complex requirements into actionable plans.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current data infrastructure, future projects, or team dynamics. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.