Senior Analytics Engineer

  • London
  • Full time
  • hybrid
  • Data Platform Team

About the role

As a Senior Analytics Engineer, you will oversee the data architecture for our U.S. business and Superapp. These new products are critical to Lendable's ambitious growth strategy and represent greenfield opportunities where you will take ownership of the data models that will inform our decision-making at all levels. Your work will directly impact our capabilities in credit underwriting, enhancing our ability to make smarter, faster lending decisions.
Additionally, your insights will drive user retention and engagement for our consumer-facing app (Zable) aimed at understanding and predicting user behaviour. You will collaborate with analysts, stakeholders, backend engineers, and product teams to enhance our Data Warehouse, turning it into a competitive asset for Lendable. This role will give you the opportunity to significantly influence our organisation by mentoring a team of analysts and setting the foundations of our analytical workflow.

What you'll be doing

  • Overseeing the data modelling architecture and implementation for our U.S. business and Superapp.
  • 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.
  • About our team

  • 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're looking for

  • Strong proficiency in data modelling and a deep understanding of data analysis.
  • 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

  • Quick phone call with someone in our Talent team (30 minutes)
  • Take-home SQL test (approximately taking 2 hours, to return within a week)
  • Peer interviews to assess technical skills and business insight (90 minutes)
  • Final culture interview with our CTPO (30 minutes)