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Harnham

Senior Analytics Engineer

Full-Time 60000 - 84000 £ / year (est.) No home office possible

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At a Glance

Tasks: Design and build data models, develop scalable pipelines, and collaborate with teams.
Company: Join a leading InsurTech scale-up in the UK, backed by major investors.
Benefits: Enjoy flexible working with just one day in the office and competitive salary.
Why this job: Be part of an innovative team shaping the future of motor insurance tech.
Qualifications: 3 years in Analytics Engineering, advanced SQL, and experience with DBT or Snowflake required.
Other info: Opportunity to present findings to C-suite leaders and influence company direction.

The predicted salary is between 60000 - 84000 £ per year.

Overview

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Senior Recruitment Consultant – Business Intelligence @Harnham

Location: London based | Hybrid 2 days per week in the office

Type: Permanent, full time

The Opportunity

A leading international media and audio business is hiring a Senior Analytics Engineer to join a central Data & Decision Sciences function operating across multiple European markets.

This team sits at the heart of the organisation and partners closely with senior stakeholders to drive data led decision making across audience, commercial, and operational domains. Data is treated as a strategic asset, not a support function.

The Role

As a Senior Analytics Engineer, you will be responsible for transforming raw data into well modelled, business ready data marts and semantic layers. You will take ownership of dimensional modelling, dbt transformations, and core metrics that power BI tools used across the business.

This role blends hands on technical delivery with technical leadership and line management, managing 2 to 3 Analytics Engineers while working closely with senior data leaders and stakeholders on multi market initiatives.

Key Responsibilities

Design and own dimensional data models using Kimball methodology
Build and maintain dbt pipelines from raw to gold layer marts
Define and enforce modelling, testing, and documentation standards
Own elements of the semantic layer and core business metrics
Translate technical schemas into clear, business friendly concepts
Lead migration of workloads into Snowflake and dbt
Refactor legacy logic and optimise models for performance
Champion documentation first practices and data quality standards
Improve observability using dbt tests, data quality tooling, and internal monitoring
Line manage and mentor 2 to 3 Analytics Engineers
Partner with senior stakeholders to shape data strategy and delivery
Engage with international markets to understand requirements and align delivery

What We’re Looking For

Strong SQL with hands on Snowflake experience
Proven dbt experience at scale
Python for data engineering tasks
Experience with Airflow or similar orchestration tools
Git based workflows
Familiarity with BI tools such as Tableau, Looker, or Power BI
Experience working in cloud environments including AWS or GCP
Experience leading engineers and large scale data projects
Clear communicator with strong ownership mindset

Nice to have

Data quality tooling such as Great Expectations

Why Apply

High impact role in a data driven organisation
Exposure to international, multi market datasets
Combination of technical leadership and hands on engineering
Strong investment in learning and development
Flexible hybrid working model

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst

Industries

Staffing and Recruiting

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