Senior Data Engineer

Senior Data Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Novatus

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 Global, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through accelerated career progression, professional qualification sponsorship, and a supportive work environment that values diversity and inclusion. With flexible working hours, comprehensive benefits including private medical insurance, and opportunities for meaningful impact in the RegTech space, joining our team as a Senior Data Engineer means being part of a dynamic scale-up that is shaping the future of regulatory compliance.
Novatus

Contact Detail:

Novatus Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Novatus Global. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub with projects related to data engineering, make sure to highlight them. It’s a great way to demonstrate your expertise in Python, PySpark, and data pipelines.

✨Tip Number 3

Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Databricks, Snowflake, and how you’ve tackled challenges in regulated environments. Confidence is key!

✨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 genuinely interested in joining the Novatus team!

We think you need these skills to ace Senior Data Engineer

Databricks
Snowflake
Python
PySpark
SQL
Data Pipeline Design
Data Quality Controls
Performance Optimization
Cloud Data Platforms
CI/CD
Observability
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 Python, as well as any relevant projects that showcase your skills in building auditable data pipelines.

Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python, PySpark, and SQL in past roles. This will help us see your technical prowess and how you can contribute to our data platform.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still showcasing your personality.

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 Stack

Make sure you’re well-versed in Databricks, Snowflake, Python, and PySpark. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your ability to write and optimise complex queries during the interview.

✨Showcase Your Leadership Skills

As a Senior Data Engineer, you’ll be expected to mentor junior team members. Prepare examples of how you've successfully led projects or guided colleagues in the past. This will show that you can take ownership and drive results.

✨Understand Regulatory Requirements

Familiarise yourself with the regulatory landscape relevant to financial institutions. Be ready to discuss how you would translate complex regulatory requirements into technical specifications, as this is crucial for the role.

✨Prepare for Problem-Solving Questions

Expect to tackle some technical challenges during the interview. Practice explaining your thought process clearly and logically when solving problems, especially those related to data pipeline design and optimisation.

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