Compared with the selected benchmark ("All roles in London, United Kingdom"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,847–€15,737). The listed pay band (€459–€729) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 10 comparable listings.

Monthly salary comparison for Senior Analytics Engineer
Market	Lower bound (25th percentile)	Median	Upper bound (75th percentile)
All roles in London, United Kingdom	€3,847/per month	€7,124/per month	€15,737/per month

About the role

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

Job Details

Responsibilities

Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting
Driving the development of our dbt models and transformation layer
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
Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline
Scaling our data infrastructure to proactively support the requirements of a rapidly growing business

Requirements

Strong SQL skills
Strong experience with ELT pipelines and transformation at scale, using dbt
Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability
Good judgement in balancing longer-term platform improvements with day-to-day business needs
The ability to spot inefficiencies in existing data workflows and improve them independently
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows