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- Tasks: Design and maintain data infrastructure for a cutting-edge fintech platform.
- Company: Join nsave, a rapidly growing fintech company on a mission to empower the financially excluded.
- Benefits: Enjoy competitive salary, share options, private medical insurance, and a generous health budget.
- Other info: Be part of a diverse team committed to excellence and innovation.
- Why this job: Make a real impact by enabling data-driven decisions in a high-growth environment.
- Qualifications: 4+ years of data engineering experience with strong SQL and cloud data warehouse skills.
The predicted salary is between 60000 - 80000 £ per year.
About nsave
nsave is a fintech company headquartered in London. Founded by Amer Baroudi and Abdallah AbuHashem, our vision is to "Protect and grow the wealth of the financially excluded". We have built a global platform that provides trusted USD accounts, global payments, and investments for individuals from distressed economies, where inflation is high and banking systems are unstable. Our compliance-by-design approach and proprietary technology allow us to deliver these services securely and at scale.
To date, nsave has raised $22M from leading investors including Sequoia Capital, TQ Ventures, Y Combinator, and SV Angel. Our team has grown 200% in the last year, and with so much more ahead, we're just getting started!
Full-time, on-site role based in London
About the Role
As our Data Engineer, you will design, build, and maintain the data infrastructure that powers nsave's financial platform. You will own production pipelines, model complex financial and transactional data, and ensure reliable, scalable data flows across the organisation. Working closely with Engineering, Product, and Compliance, you will enable data-driven decision-making and support regulatory requirements as we scale.
You will:
- Design, build, and own production ETL/ELT pipelines, cloud data warehouse architecture, and data models for financial and transactional data
- Build and manage streaming, CDC, and orchestration systems for reliable, real-time data processing
- Collaborate with Engineering and Compliance to ensure pipelines meet regulatory and security standards, with robust CI/CD and infrastructure as code
Who you are
- 4+ years of data engineering experience, ideally with financial or transactional data, with advanced SQL (window functions, query optimisation, performance tuning at scale) and proven production ETL/ELT pipeline experience
- Proficient with cloud data warehouses (Snowflake, BigQuery, or Redshift), dbt, workflow orchestration (Airflow, Dagster, or Prefect), and streaming/event-driven systems (Kafka or Kinesis)
- Experienced with PostgreSQL as a source system including CDC (Debezium or similar), strong in data modeling (dimensional modeling, SCDs, event sourcing), and comfortable with CI/CD and IaC (Git, Docker, Terraform)
Nice to Have
- Experience with payments data (ISO 20022, ACH, card network settlement files), card issuing, or BaaS integrations
- Familiarity with double-entry ledger systems, KYC/AML data pipelines, and reconciliation pipeline design across providers and internal ledgers
- Compliance knowledge including PCI DSS, SOC 2, and GDPR
How You'll Make a Difference
- Build and own the data infrastructure that underpins nsave's financial platform and reporting
- Design reliable, scalable pipelines that handle complex financial and transactional data
- Enable data-driven decision-making across Product, Operations, and Compliance
- Ensure data quality, integrity, and auditability across all systems
- Drive best practices in data modeling, testing, and documentation
- Support regulatory and compliance requirements through robust, well-governed data pipelines
nsave Values
- Service - "Mission First": We put the mission, our customers, and our team above self.
- Urgency - "Stay focused. Move fast": We act with urgency and intention, concentrating on what matters most.
- Ownership - "Act as an Owner": We take responsibility for outcomes end-to-end.
- Standards - "Pursue Excellence": We hold ourselves to high personal standards and continuously improve.
Please apply only if you:
- Are deeply motivated by nsave's mission and the problems we are solving
- Thrive in high-ownership, high-accountability environments
- Are comfortable operating with urgency and ambiguity
- Want to build from first principles in an early-stage, high-growth fintech
Employee Benefits
- nsave Share Options (subject to eligibility and plan rules)
- 25 days Annual leave (+ UK Public Holidays)
- Visa Sponsorship available
- Private Medical Insurance (includes Dental, Optical and pre-existing conditions)
- Free monthly Gym membership (via hussle)
- £500 GBP Health & Wellness Budget
- Individual Learning & Development Budget
- Season Ticket Loan Scheme
- Cycle to Work Scheme
nsave is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and welcome applications from all backgrounds, identities, and experiences. We do not discriminate on the basis of age, gender, ethnicity, religion, sexual orientation, disability, or any other protected characteristic.
Data Engineer, LONDON employer: Story Terrace Inc.
Contact Detail:
Story Terrace Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, LONDON
✨Tip Number 1
Network like a pro! Reach out to current employees at nsave on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that showcases your data engineering prowess. Bring it up during interviews to demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 3
Be ready for technical challenges! Brush up on your SQL and data modelling skills, as you might face some real-time scenarios during interviews. Practice makes perfect, so don’t skip this step!
✨Tip Number 4
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 being part of the nsave mission.
We think you need these skills to ace Data Engineer, LONDON
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for nsave's mission shine through. We want to see how motivated you are to help the financially excluded and how you can contribute to our vision.
Tailor Your Experience: Make sure to highlight your relevant experience in data engineering, especially with financial or transactional data. We love seeing specific examples of your work with ETL/ELT pipelines and cloud data warehouses that align with what we do.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Data Engineer role at nsave.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Story Terrace Inc.
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like SQL, Snowflake, and Airflow. Brush up on your ETL/ELT pipeline experience and be ready to discuss specific projects where you've used these technologies.
✨Understand Compliance Standards
Since nsave places a strong emphasis on compliance, it’s crucial to familiarise yourself with relevant regulations like PCI DSS and GDPR. Be prepared to explain how you’ve ensured data security and compliance in your previous roles.
✨Showcase Problem-Solving Skills
Be ready to discuss how you approach complex data challenges. Think of examples where you’ve designed scalable data models or optimised data flows, and articulate your thought process clearly during the interview.
✨Align with Company Values
Familiarise yourself with nsave's mission and values. During the interview, express how your personal values align with theirs, especially around ownership and urgency. This will show that you’re not just a fit for the role, but also for the company culture.