Analytics Engineer – AI-Driven Data Platform (Hybrid)

Liberis; Greater London; Hybrid; GBP 65,000 - 100,000; Full time

Benefits offered by this job

Real Living Wage employer

Hybrid work model

Job summary

Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact!

As Analytics Engineer, you’ll design the transformation layer turning raw data into reliable analytical assets, owning data

Qualifications

• Proven hands on analytics engineering or BI engineering experience with dbt in production.
• Strong SQL, including window functions, CTEs, and complex joins.
• Dimensional modeling experience with grain, facts and dimensions.
• Production experience shipping models used by real stakeholders.

Responsibilities

• Design and build dbt models with layered data modelling.
• Own data model quality through testing.
• Build semantic layers (LookML/dbt) for self-serve analytics.
• Collaborate across functions to translate business needs into data models.
• Use AI tools effectively to accelerate SQL/dbt work and tests.
• Review peers' work focusing on design and testing.
• Maintain and evolve models with feedback and schema changes.
• Automate analytical work with lightweight Python/SQL workflows.

Skills

Analytics engineering

Strong SQL

Dimensional modeling

Production judgment

Git & CI/CD

AI coding tools

Tools

dbt

LookML

Python

Job description

Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, building a global Product, Data & Engineering team that thrives on autonomy, ownership, and is focused on impact!

As Analytics Engineer, you’ll design the transformation layer turning raw data into reliable analytical assets, owning data