Senior Analytics Engineer - Scale Data & AI in Fintech

Doist; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Private health cover

Office socials & off-sites

Retirement savings plans

Employee referral bonus

Job summary

Lendable is building world-class fintech tech to empower customers with fast credit and smarter money management. Join the data analytics team to own models, pipelines, and insights shaping lending decisions and investor reporting.

You’ll work with a modern stack (SQL, Snowflake, dbt, Fivetran, Claude) to enable reliable analysis, scale, and rapid experimentation across a growing platform.

Qualifications

• Strong SQL and data engineering skills with dbt.

Responsibilities

• Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.
• Driving the development of dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation
• Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer
• Supporting analysts at different technical levels, helping them build stronger engineering habits and become more effective with data
• Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively
• Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time
• Scaling our data infrastructure to proactively support the requirements of a rapidly growing business

Skills

SQL

ELT pipelines

dbt

Stakeholder management

Data modelling

AI tools

Tools

Snowflake

dbt

Fivetran

Claude

Job description

Lendable is building world-class fintech tech to empower customers with fast credit and smarter money management. Join the data analytics team to own models, pipelines, and insights shaping lending decisions and investor reporting.

You’ll work with a modern stack (SQL, Snowflake, dbt, Fivetran, Claude) to enable reliable analysis, scale, and rapid experimentation across a growing platform.