Senior Analytics Engineer

UK-based fintech unicorn providing faster, cheaper, and friendlier consumer finance solutions through loans, credit cards, and car finance.
Data
Senior Software Engineer
Hybrid
101 - 500 Employees
5+ years of experience
Finance

Description For Senior Analytics Engineer

Lendable, a leading UK fintech unicorn valued at over $1B, is seeking a Senior Analytics Engineer to lead data architecture for their US business and Superapp initiatives. This role is crucial for Lendable's ambitious growth strategy, focusing on credit underwriting and consumer app engagement. The position offers an opportunity to work with cutting-edge technologies like Snowflake, DBT, and Fivetran while making significant impact on company decisions.

The role combines technical leadership with mentorship, requiring expertise in data modeling, ELT processes, and warehouse management. You'll work in a collaborative environment, interfacing with analysts, engineers, and product teams to enhance Lendable's Data Warehouse capabilities. The company, profitable since 2017 and backed by Balderton Capital and Goldman Sachs, has an impressive track record with excellent customer reviews (4.9 on Trustpilot).

Working at Lendable offers a balance of innovation and stability, with a hybrid work model allowing remote work on Mondays and Fridays. The company provides competitive benefits including equity, private health insurance, and unique perks like an in-house chef. This is an excellent opportunity for a senior data professional looking to make a significant impact in a fast-growing fintech environment while working with a team of exceptional people.

Last updated a day ago

Responsibilities For Senior Analytics Engineer

  • Oversee data modeling architecture and implementation for US business and Superapp
  • Drive development of DBT models and collaborate with analysts
  • Support and mentor analysts to improve their technical skills
  • Communicate analysts' needs to data platform team
  • Act as liaison between backend engineers and product teams
  • Contribute to overall data platform strategy

Requirements For Senior Analytics Engineer

  • Strong proficiency in data modeling and 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 identify and implement efficiency improvements in data transformation pipeline
  • Capacity to balance long-term platform improvements with daily operations
  • Ability to upskill and mentor non-technical colleagues
  • Strong communication skills for collaboration with business analysts and stakeholders

Benefits For Senior Analytics Engineer

Medical Insurance
Equity
  • Equity compensation
  • Private health insurance
  • Hybrid work schedule (WFH Monday and Friday)
  • In-house chef (fresh lunches Tuesday-Thursday)
  • Equal opportunity employer

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