Analytics Engineer - Build Trustworthy Data & AI Pipelines

InvestEngine

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

4 days ago

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Job summary

InvestEngine is hiring its first dedicated Analytics Engineer to sit at the intersection of data engineering, analytics engineering, and business partnership. You will turn raw, disparate data into governed models that drive decision-making across Product, Engineering, Risk, Finance, Investment, and Marketing.

You’ll design pipelines, semantic layers, and AI-enabled tooling, shaping the data stack as it modernises.

Qualifications

Must have hands-on production experience with dbt Core.
Strong SQL expertise is required.
Solid Python for data engineering and automation.
Working knowledge of AWS data services is essential.
Experience with GitHub and GitHub Actions for testing and deploying data code.
Experience with modern BI tools and semantic layers, and self-serve analytics.
Comfortable using AI tools as part of daily engineering workflow.

Responsibilities

Design, build, and maintain core data models transforming raw data into clean datasets.
Own and evolve the semantic layer with consistent metrics and business logic.
Establish data modelling standards, testing, and documentation as the function scales.
Evaluate and help roll out modern BI tooling to enable self-serve analytics.
Collaborate with product, engineering, and business stakeholders to translate problems into pipelines and models.