Senior Data Engineer

Silversmith Capital Partners

Greater London

On-site

GBP 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Private Medical Insurance (via AXA)
Life Insurance - 4× salary
Flexible hours
Paid volunteering leave
Gym & fitness discounts
Office snacks and drinks

Job summary

Novatus, a RegTech SaaS and consulting practice, seeks a Senior Data Engineer to advance our configuration-driven data platform in Databricks and Snowflake for regulated use cases. You will write clean, well-tested code and provide technical leadership in a growing team.

You will help modernize our data infrastructure as we scale, migrating from Python scripts to Databricks and Snowflake, and ensure auditability, data quality, and reliability across client deployments.

Qualifications

  • 8+ years as a software engineer, including 5+ years in data engineering.
  • 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, DRY, SOLID, automated testing, CI/CD, and observability.
  • Deep experience with a cloud lakehouse / data warehouse (Databricks, Snowflake, BigQuery, Redshift, EMR).
  • Experience with a workflow orchestrator (Airflow, Dagster, or Databricks Workflows).
  • Proven system and platform design judgment with ability to own architectural decisions.

Responsibilities

  • Design and evolve data framework in Databricks and Snowflake.
  • Coach and mentor junior engineers, and lead design reviews.
  • Design, build, and optimize data pipelines using Databricks, Python and PySpark, with Kafka.
  • 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; collaborate with Product, Engineering, DevOps, and Regulatory teams.
  • Contribute to the continuous improvement of our development processes and tools.

Skills

Databricks
PySpark
SQL
Data modeling
CI/CD
Testing & observability
Python
Cloud data lakehouse
Kafka
Leadership

Tools

Airflow
Snowflake
Databricks
Terraform
BigQuery/Redshift

Job description

Novatus is a Series B scale-up RegTech SaaS provider and boutique consulting practice, enabling financial services firms to solve complex challenges and redefine what’s possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services.

Our SaaS platform, En>ACT (short for ensuring more accurate, complete and timely reporting), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 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 to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. 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 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 financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success.

Job Overview

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.
  • Coach and mentor junior engineers, and lead technical discussions and design reviews.
  • Design, build, and optimize data pipelines using Databricks, Python and PySpark, with event-driven components (e.g. Kafka).
  • 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
  • 8+ years as a software engineer, including 5+ years in data engineering, owning system design and delivery.
  • 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, DRY, SOLID, automated testing, CI/CD, and observability, with a bias toward simple, maintainable solutions.
  • Deep experience with a cloud lakehouse / data warehouse (Databricks, Snowflake, BigQuery, Redshift, EMR, or similar). Our stack is Databricks and Snowflake; strong equivalent experience elsewhere transfers.
  • Experience with a workflow orchestrator (e.g. Airflow, Dagster, or Databricks Workflows).
  • Proven system and platform design judgment: you own architectural decisions and can defend the trade-offs. Greenfield, scaling, and migration work all count.
  • Comfortable translating complex regulatory requirements into technical specifications.
  • Able to own large, ambiguous initiatives and delivering them in incremental, shippable slices.
  • Strong communication and collaboration skills, including translating between technical and non-technical stakeholders.
Nice-to-Haves
  • Experience with event-driven architecture patterns.
  • Hands-on experience with AWS cloud infrastructure.
  • Practical experience with infrastructure as code (e.g. Terraform).
  • Experience modernizing legacy systems.
  • FinTech, RegTech, or financial services background.
Why Join Us?

Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings.

Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact.

Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day.

A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions.

Perks & Benefits:
  • Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access
  • Life Insurance - 4× salary (via Unum)
  • Unum’s Help@Hand: includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren)
  • Salary sacrifice childcare and nursery scheme (via YellowNest)
  • Employee Assistance Programme
  • Enhanced parental leave (maternity & paternity)
  • Professional qualification sponsorship
  • Accelerated career progression based on readiness and performance, not tenure or time spent in role
  • Holiday entitlement increases with tenure
  • Flexible hours with core collaboration time
  • Paid volunteering leave
  • Gym & fitness discounts
  • Bi-annual socials
  • Office snacks and drinks
  • Interest-based working groups to collaborate and innovate
Novatus’ 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.

Novatus’ Privacy Policy:

By applying for this role, you agree that we may process your personal data for recruitment purposes in accordance with our Privacy Policy.

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