Senior Analytics Engineer

Lendable Ltd; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading fintech company in London seeks a Senior Analytics Engineer to oversee data architecture for the Zable App, which is essential for growth and customer engagement. This role focuses on data modeling, mentor analysts, and drive efficiencies in data transformation workflows. Candidates should have expertise in data modelling, ELT processes, and collaborative communication skills. Hybrid work options are available, along with competitive benefits including health insurance and equity options.

Benefits

Private health insurance

Equity compensation

Fresh lunches provided

Flexible work from home options

Qualifications

• Strong proficiency in data modelling and data analysis.
• Ability to understand commercial drivers and data solutions alignment.
• Experience with ELT and transformations at scale.

Responsibilities

• Oversee the data modelling architecture for the Zable app.
• Identify opportunities for model performance and cost efficiency.
• Drive DBT model development for analytics efficiency.

Skills

Data modelling

Data analysis

Business acumen

ELT experience

Communication skills

Tools

Snowflake

DBT

Fivetran

Job description

## About the roleAs a Senior Analytics Engineer, you will oversee the data architecture for our Zable App business – used by over 1 million customers on iOS and Android. This role is central to maintaining and evolving the data foundations to support growth on our Zable App, as we launch new products. You will take ownership of the data models that underpin customer acquisition, marketing spend effectiveness, product performance, and user engagement across the app. Your work will directly enhance our ability to make smarter, faster lending decisions and drive ongoing optimisation across the loan lifecycle. You will collaborate with analysts, stakeholders, backend engineers, and product teams to continuously improve our Data Warehouse, ensuring it remains a strategic asset for the business. This role also offers the opportunity to influence the broader analytics function by mentoring analysts and shaping the analytical workflows used across the organisation.**What You'll Be Doing*** Overseeing the data modelling architecture and implementation for the Zable app* Proactively identifying opportunities to improve model performance, cost efficiency, and reliability.* Partnering closely with marketing and product teams to translate business goals into robust models and actionable insights.* Driving the development of our DBT models, collaborating with analysts and stakeholders to enhance their efficiency in gaining insights.* Supporting and mentoring analysts at all technical levels to accelerate their development and improve their engineering skills.* Communicating analysts' needs to the data platform team to prioritise our roadmap effectively.* Acting as a liaison between backend engineers and product teams to understand data generation and its significance, while leading the triage of any issues affecting the analytics pipeline.* Contributing to the overall data platform strategy to ensure our features are relevant, impactful, and maintain the highest data quality standards.**What We Offer*** **Innovative Environment:** Work on an early-stage project that sets the foundation for our data future.* **Best-in-Class Tools:** Access cutting-edge technologies in data engineering, including Snowflake, DBT, and Fivetran.* **Collaborative Team:** Join a team of passionate experts pushing the boundaries of data engineering at Lendable.* **Impactful Work:** Experience the direct influence of your contributions on company decisions and outcomes.* **Culture of Excellence:** Be part of a culture that emphasises quality, innovation, and results.* **Diverse Projects:** Engage in a variety of projects, ensuring continuous challenges and engagement.**What We Are Looking For*** Strong proficiency in data modelling and a deep understanding of data analysis.* Strong business acumen, with the ability to understand commercial drivers and ensure data solutions align with broader product and business goals* Strong experience with ELT, focusing on transformations at scale, preferably with DBT* Extensive experience with Snowflake or alternative data warehouses.* Ability to independently identify and implement opportunities for improving the efficiency and cost-effectiveness of our data transformation pipeline.* Capacity to balance long-term platform improvements with daily operational needs.* Able to upskill and mentor non-technical colleagues in analytics engineering.* Strong communication skills for effective collaboration with business analysts and stakeholders, translating business requirements into technical solutions.**Interview Process*** Stage 1 quick phone call with someone in our Talent team (30 minutes)* Stage 2 take-home SQL test (approximately taking 2 hours, to return within a week)* Stage 3 peer interviews to assess technical skills and business insight (90 minutes)* Stage 4 final interview with our CTO (45 minutes)* The opportunity to scale up one of the **world’s most successful** fintech companies* **Best-in-class** compensation, including equity* You can work from home **every Monday and Friday** if you wish - on the other days we all come together IRL to be together, build and exchange ideas* **Our in-house chefs** prepare fresh, healthy lunches in the office every Tuesday-Thursday* We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to **private health insurance*** We're an **equal opportunity employer** and are keen to make Lendable the most inclusive and open workspace in London