Senior Data Engineer — RegTech Platform Databricks/Snowflake
Senior Data Engineer — RegTech Platform Databricks/Snowflake

Senior Data Engineer — RegTech Platform Databricks/Snowflake

Full-Time 70000 - 90000 £ / year (est.) No home office possible
Novatus Global

At a Glance

  • Tasks: Design and optimise data pipelines using Databricks and Snowflake for regulatory reporting.
  • Company: Join a fast-growing RegTech scale-up transforming compliance with innovative SaaS solutions.
  • Benefits: Enjoy private medical insurance, enhanced parental leave, and flexible working hours.
  • Other info: Accelerated career progression and a supportive, inclusive workplace culture.
  • Why this job: Be part of a pivotal team modernising data infrastructure in a dynamic environment.
  • Qualifications: Experience in Python, SQL, and data pipeline design in regulated environments.

The predicted salary is between 70000 - 90000 £ 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 (short for Enabling Accurate Compliance in Transaction reporting), 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. Already trusted by more than 30 firms worldwide, the platform is scalable, proven, and designed for both business and technical users.

Alongside our SaaS offering, our unique model delivers consulting services across Risk & Compliance (including Transaction Reporting and Operational Resilience), 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. Our growth plans do not stop here; we are on the lookout for top-tier talent to join us on our journey and enable our next phase of success.

As a Senior Data Engineer, you will be developing 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’ll be writing clean, maintainable and well-tested code that follows best practices. As a senior member of the team, you will be providing technical leadership and mentorship to your colleagues. 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

  • Design and evolve our configuration-driven data framework in Databricks and our Snowflake warehouse.
  • Mentor Junior members of the team, aiding their growth and acting as a force multiplier through your technical leadership.
  • Design, build, and optimize data pipelines using Databricks, Kafka, Python and PySpark.
  • 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.
  • Contribute to the continuous improvement of our development processes and tools.

Must-Haves

  • Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark.
  • 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.
  • Comfortable translating complex regulatory requirements into technical specifications.
  • Ability to work autonomously with a high degree of accountability for the systems you build and maintain.

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.

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).
  • Accelerated career progression based on performance, not tenure.
  • Holiday entitlement increases with tenure.
  • Flexible hours with core collaboration time.
  • 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.

Senior Data Engineer — RegTech Platform Databricks/Snowflake employer: Novatus Global

Novatus Global is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to grow alongside a rapidly scaling RegTech firm. With a strong focus on professional development, flexible working hours, and comprehensive benefits including private medical insurance and enhanced parental leave, we empower our team to thrive in their careers while making a meaningful impact in the financial sector. Join us in shaping the future of regulatory compliance with innovative technology and consulting expertise.
Novatus Global

Contact Detail:

Novatus Global Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer — RegTech Platform Databricks/Snowflake

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already at Novatus Global. A friendly chat can open doors and give you insider info on what they're really looking for.

Tip Number 2

Show off your skills! If you’ve got a portfolio or any projects that highlight your data engineering prowess, don’t hesitate to share them during interviews. Real-world examples can make you stand out.

Tip Number 3

Prepare for technical challenges! Brush up on your Python, SQL, and data pipeline design. Be ready to tackle some hands-on problems during interviews to showcase your expertise.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Novatus Global.

We think you need these skills to ace Senior Data Engineer — RegTech Platform Databricks/Snowflake

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

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your experience with Databricks, Snowflake, and any relevant projects that showcase your skills in building data pipelines and working in regulated environments.

Showcase Your Technical Skills: Don’t hold back on your technical prowess! Include specific examples of how you've designed auditable data pipelines or optimised SQL queries. We want to see your coding skills shine through, so mention any clean code practices and testing methodologies you’ve used.

Demonstrate Leadership Experience: As a senior member, you'll be mentoring others, so share any past experiences where you've led a team or guided junior colleagues. This will show us that you're not just a tech whiz but also someone who can uplift the team around them.

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 genuinely interested in joining our team at Novatus Global!

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, and be ready to discuss how you've used them to build auditable data pipelines in the past.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex regulatory requirements and translated them into technical specifications. This will demonstrate your ability to think critically and apply your knowledge effectively.

Emphasise Mentorship Experience

As a senior member, you'll be expected to mentor junior team members. Be ready to discuss your previous mentoring experiences and how you've helped others grow in their roles. This shows that you can lead and foster a collaborative environment.

Ask Insightful Questions

Prepare thoughtful questions about the company's growth plans, the challenges they face in modernising their data infrastructure, and how you can contribute to their success. This not only shows your interest but also your strategic thinking.

Senior Data Engineer — RegTech Platform Databricks/Snowflake
Novatus Global

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