Graduate Analytics Engineer (Fintech)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Graduate Analytics Engineer (SQL/dbt): Building and optimizing the analytical foundation for the US Cards team with an accent on data transformation and pipeline reliability. Focus on creating scalable dbt models, improving data quality, and bridging the gap between backend engineering and business insights.
Location: Hybrid (London). Must be able to work from the London office Tuesday through Thursday.
Company
is a profitable fintech unicorn building advanced technology to help people access credit and save money across UK and US markets.
What you will do
- Contribute to data models supporting credit decisions, origination, portfolio analysis, and investor reporting.
- Build and improve dbt models and transformations in collaboration with senior engineers.
- Act as a bridge between analysts, backend engineers, and product teams to ensure effective data modeling.
- Identify opportunities to improve the efficiency, reliability, and cost-effectiveness of transformation pipelines.
- Support the scaling of data infrastructure as the business grows.
Requirements
- Solid SQL skills.
- Hands-on experience with dbt or ELT pipelines.
- Strong collaborative working style and clear communication across technical and non-technical stakeholders.
- Foundational understanding of data modeling for reliability and usability.
- Comfort using AI tools to increase productivity and quality.
Nice to have
- Experience with Snowflake or other modern cloud data warehouses.
- Interest in developing shared patterns and good practices for analysts.
- Previous experience in Fintech or a scale-up environment.
Culture & Benefits
- Hybrid work model: Work from home every Monday and Friday.
- Best-in-class compensation including equity.
- Private health insurance coverage.
- Fresh, healthy lunches prepared by in-house chefs in the office (Tuesday-Thursday).
- Inclusive and open workspace culture in London.
Hiring process
- Initial call.
- Take-home task.
- Technical interview.
- Culture interview.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β