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 competitive pay, private medical insurance, flexible hours, and career growth opportunities.
- Other info: Be part of a supportive, inclusive culture with exciting team events and wellness programs.
- Why this job: Make a real impact in financial compliance while working with cutting-edge technology.
- Qualifications: Experience in data engineering, Python, and SQL; strong problem-solving skills.
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.
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 employer: Novatus Global
At Novatus Global, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our commitment to employee growth is evident through fast career progression opportunities, professional qualification sponsorship, and a supportive environment that encourages collaboration and innovation. Located in a vibrant sector of the RegTech industry, we offer competitive benefits including private medical insurance, enhanced parental leave, and paid volunteering leave, making us an attractive choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Novatus Global!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Novatus Global.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Novatus Global.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Novatus Global, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Novatus Global, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Novatus Global. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Novatus Global
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Novatus Global!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
