Find a job 
Featured Companies 
Featured Universities 
For Companies 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, 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.
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.
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.
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.
Senior Data Engineer in London employer: Silversmith Capital Partners
Contact Detail:
Silversmith Capital Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research Novatus Global and understand their products like En:ACT. Show them you’re not just another candidate, but someone who gets what they do.
✨Tip Number 3
Practice your technical skills! Brush up on Python, PySpark, and SQL. You want to impress them with your coding chops, especially when discussing data pipelines.
✨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 us.
We think you need these skills to ace Senior Data Engineer in London
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, or SQL in past roles. This will help us see your hands-on experience and how you can contribute to our team.
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 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. Be prepared to discuss your previous experiences in leadership roles and how you've helped others grow. Share specific examples of how you’ve acted as a force multiplier in past projects.
✨Understand Regulatory Requirements
Since Novatus Global operates in a regulated environment, it’s crucial to understand how regulatory requirements translate into technical specifications. Familiarise yourself with common compliance challenges and be ready to discuss how you would approach them.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think about how you would design auditable and resilient data pipelines, and be ready to explain your thought process clearly and logically.