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Analytics Engineer

London · London, United Kingdom

Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Growth & Analytics › Credit & Data — team source
Department: Growth & Analytics › Credit & Data
From the employer’s posting
Apply at Lendable

What you’ll work on

Full posting
  • Transform and model data using SQL and dbt

  • Build Python data workflows and automate processes

  • Build tools to optimise day-to-day work

From the employer’s posting
You’ll work on transforming and modelling data using SQL and dbt
leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work
build tools to optimise day to day work

What you’ll bring

All qualifications

Core experience

  • Experience with SQL/Snowflake or other modern data platforms
  • Strong, modern Python development experience
  • Some experience building and maintaining data pipelines or ETL processes
  • Clear communication across technical and non-technical stakeholders

Preferred experience

  • Experience working in a cross-functional environment
Qualification wording
Experience working with SQL/Snowflake or other modern data platforms
Strong, modern Python development experience.
Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services
clear communication across technical and non-technical stakeholders
If you’ve worked in a cross functional environment, it would be a plus but not needed

Tools in this posting

  • Python
  • SQL
  • dbt
  • Snowflake
Source — Tool mentions in context
- Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting We'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work.
We'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. No two days look the same here.
Our Tech Stack You’ll work with a modern data stack centred around Snowflake, dbt and Python. What we’re looking for
- Experience working with SQL/Snowflake or other modern data platforms - Strong, modern Python development experience. - Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services
More specifically, we’re looking for: - Experience working with SQL/Snowflake or other modern data platforms - Strong, modern Python development experience.

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money.

In the employer’s words · Read in context · Company website ↗

Posting record

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Status in our records
Live
First seen by us
Aug 7, 2026 · 75 days ago
Recorded sightings
107
Last seen by us
Oct 21, 2026
Reposted
once since Jun 17, 2026

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Job description

View original posting ↗

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s most exciting unicorns with a team of over 800 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

  1. Take ownership: you are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  2. Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

  3. Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting

We'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible.

This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work.

No two days look the same here.

We're building something great, and we're looking for the right people to grow with us. If that sounds like you, we can't wait to hear from you.

Our Tech Stack

You’ll work with a modern data stack centred around Snowflake, dbt and Python.

What we’re looking for

We’re looking for someone with strong technical fundamentals, excellent communication skills, and a genuine interest in building high-quality data products.

More specifically, we’re looking for:

  • Experience working with SQL/Snowflake or other modern data platforms

  • Strong, modern Python development experience.

  • Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services

  • A collaborative working style and clear communication across technical and non-technical stakeholders.

  • A keen desire to want to learn and input into a highly collaborative team

  • If you’ve worked in a cross functional environment, it would be a plus but not needed

Interview process

  • A quick phone call with one of the team

  • A short coding exercise to complete in your own time

  • Technical Video Interview for 60 mins

  • Culture interview for 30mins

  • Final Interview

Life at Lendable

  • Winning team: the opportunity to scale up one of the world’s most successful fintech companies

  • Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites

  • Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls

  • Health coverage: support for your physical and mental wellbeing, including private health cover

  • Retirement & savings: long-term financial wellbeing through retirement savings plans

  • Employee referral programme: earn a competitive bonus when you refer successful new team members

  • Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations

  • Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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Pay

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Location & working pattern

London, United Kingdom

- Winning team: the opportunity to scale up one of the world’s most successful fintech companies - Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites - Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls
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