Python Analytics Engineer
Lendable · London
- Level
- Not stated
- Type
- full-time
- Mode
- On-site / hybrid
- Posted
- 2026-08-06
- Team
- Growth & Analytics, Credit & Data
Role description
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.…
Technologies named in the posting
How Rolefit scores this role
- Stack overlap (50%). Every technology named in the posting is compared with your selected stack, weighted by how rare it is across the whole index — a niche match counts for more than Docker.
- Seniority fit (16%). The level in the posting is compared with the level assessed from your years and depth.
- Title alignment (16%). Whether the role is actually pitched at your field rather than adjacent to it.
- Freshness and filters (18%). Newer postings, your work type and your target region all move the score.
The score you see on a shortlist is specific to you — the same posting scores differently for a different stack. Run the assessment once and this role either makes your top 30 or it does not.
Build my shortlistSimilar roles
- 3mo agoApply ↗
- Staff R&D Software Engineer, Fivetran AI
Fivetran · Oakland, California, United States, AMER · USA - Oakland
dbtPythonJavaSQL3mo agoApply ↗ - 3mo agoApply ↗
- 2mo agoApply ↗
- Senior R&D Software Engineer, Fivetran AI
Fivetran · USA - Austin (dbt) · USA - Remote - TX
dbtPythonJavaSQLremote3mo agoApply ↗ - 5d agoApply ↗
Your turn
See the 30 roles that actually fit your stack.
Three steps, no account, no CV upload. Every match opens with its score breakdown and a cover letter written for it.