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nsave

Data Engineer, LONDON

London
Posted 26 days ago
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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!

Learn more at www.nsave.com.

📍 Location: 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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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nsave Values

Alongside technical excellence, we look for people whose values align with ours:

  • 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.

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.

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Skills

SQL
ETL/ELT Pipelines
Cloud Data Warehousing
dbt
Airflow
Kafka
PostgreSQL
CDC
Data Modeling
CI/CD
Terraform
Docker
Git
Dimensional Modeling
Event Sourcing
Infrastructure as Code

Location

London, England, United Kingdom

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