Senior Data Engineer

Senior Data Engineer

Full-Time 60000 - 80000 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and develop a cutting-edge data platform using Databricks and Snowflake.
  • Company: Join Novatus Global, 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 a supportive, inclusive culture with opportunities for professional growth.
  • Why this job: Make a real impact in financial compliance while mentoring junior engineers.
  • Qualifications: Experience in Python, PySpark, and designing auditable data pipelines is essential.

The predicted salary is between 60000 - 80000 £ 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.

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.

Perks & Benefits

  • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access.
  • Life Insurance (4× salary) with Unum.
  • Unum’s: 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.

Equal Opportunities Statement

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 employer: Novatus

At Novatus, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Series B scale-up located in the heart of London, we offer flexible working arrangements, accelerated career progression, and a commitment to employee well-being through comprehensive benefits like private medical insurance and enhanced parental leave. Join us to work on meaningful challenges in the RegTech space, where your contributions are valued and have a real impact on the future of financial services.

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Contact Details:

Novatus Recruitment Team

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We think you need these skills to ace Senior Data Engineer

Databricks
Snowflake
Python
PySpark
SQL
Data Pipeline Design
Data Quality Controls

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