Senior Analytics Engineer

Oscar; Greater London; On-site; GBP 90,000 - 95,000; Full time

Job summary

A venture-backed technology company in London is seeking a Senior Data Analytics Engineer to play a crucial role in scaling their data operations. The ideal candidate will create and maintain analytics-ready data models that support critical business decisions. This position requires a strong background in data systems and a drive to contribute to a fast-growing team. The role is based on-site four days a week, with a competitive salary ranging between £90,000 - £95,000, plus equity and benefits.

Qualifications

• Experience in analytics engineering and data modeling.
• Ability to design and maintain scalable data models.

Responsibilities

• Design, build, and maintain scalable analytics-ready data models.
• Define and own core metrics for reliability across teams.

Job description

Job Description

Job Title : Senior Data Analytics Engineer

Salary : £90,000 – £95,000 (+ Equity & Benefits)

Location : London (4 days on-site)

Overview

We are partnering with a venture-backed, high-growth technology company that is entering a critical scale-up phase and doubling the size of its data team. Data is already core to how the business operates, powering day-to-day decision-making, product development, and long-term strategy and is now being significantly expanded to support the next stage of growth. The platform is live, complex, and scaling fast, with data sitting at the heart of the operation.

The ideal candidate will be exceptionally strong, commercially aware, and motivated by building high-quality data systems in a fast-paced, high-ownership environment. This is a role for someone who wants to be part of a genuinely ambitious company and do some of the best work of their career.

Key Responsibilities

Analytics Engineering & Data Modelling

• Design, build, and maintain scalable analytics-ready data models that support business-critical reporting and decision-making.
• Define and own core metrics, ensuring consistency and reliability across teams.

Transform raw data into clean, well-structured ...