Senior Data Engineer

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.

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.