Senior Data Engineer

Senior Data Engineer

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Silversmith Capital Partners

At a Glance

  • Tasks: Design and develop innovative data solutions using Databricks and Snowflake.
  • Company: Join a fast-growing RegTech SaaS provider shaping the future of compliance.
  • Benefits: Enjoy private medical insurance, life insurance, flexible hours, and career progression.
  • Other info: Be part of a supportive culture that values diversity and personal growth.
  • Why this job: Make a real impact in financial compliance while advancing your technical skills.
  • Qualifications: Experience with Python, SQL, and data pipeline design in regulated environments.

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. 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.

Perks & Benefits

  • Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access.
  • Life Insurance (4x 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.

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: Silversmith Capital Partners

At Novatus Global, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Data Engineer, you will not only have the opportunity to work with cutting-edge technology in a rapidly growing scale-up but also benefit from a supportive environment that prioritises employee growth through mentorship and professional development. With flexible working hours, comprehensive health benefits, and a commitment to inclusivity, Novatus Global is dedicated to ensuring that our team members thrive both personally and professionally.
Silversmith Capital Partners

Contact Detail:

Silversmith Capital Partners 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 people in the industry, attend meetups, and connect with current employees at Novatus Global. A personal connection can make all the difference when it comes to landing that interview.

✨Tip Number 2

Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your expertise in Python, PySpark, and Databricks, so make it shine!

✨Tip Number 3

Ace the interview by practising common technical questions and scenarios related to data pipelines and regulatory requirements. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨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 our team at Novatus Global.

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
Kafka
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. We want to see your problem-solving abilities and how you’ve tackled complex data challenges.

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. 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 at Novatus Global!

How to prepare for a job interview at Silversmith Capital Partners

✨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 provided technical leadership in the past, and think about how you can inspire and guide others in their growth.

✨Understand Regulatory Requirements

Since Novatus Global operates in a regulated environment, it’s crucial to understand how regulatory requirements translate into technical specifications. Be ready to discuss how you’ve tackled similar challenges in previous roles.

✨Prepare for Problem-Solving Questions

Expect to face scenario-based questions that test your problem-solving abilities. Think through potential data pipeline issues or performance optimisation scenarios, and be prepared to explain your thought process and solutions clearly.

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