Analytics Engineer

Harnham
London, UK
2 days ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis BigQuery Machine Learning SQL Databases Data Layers Looker Analytics

Job description

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

COMPANY

A well-established AI-driven technology business with a specialist hospitality division that operates like a startup. This team designs and builds pricing optimisation, forecasting, and business intelligence solutions for hotels, empowering clients with real-time, AI/ML-driven insights. You’ll be joining a close-knit product team creating customer-facing analytics tools with full ownership and creative freedom.

THE ROLE

You’ll be part of a small but highly skilled engineering group, working closely with the Product Manager and Engineering Manager. This is a hands-on analytics engineering role where you’ll shape the data layer, refine product features, and help deliver impactful dashboards directly to hotel clients.

Day to day, you will:

  • Build new dbt models to support features and products
  • Develop and enhance dashboards in Omni
  • Use BI tools (Looker or similar) to visualise insights
  • Remodel and transform hotel data for pricing/revenue analysis
  • Collaborate with Product to scope MVPs and break down deliverables
  • Communicate with non-technical stakeholders to refine features and outcomes

WHAT WE’RE LOOKING FOR

  • Proficiency in SQL and data modelling
  • Experience with dbt and BigQuery preferred
  • Comfortable creating data products and dashboards for end users
  • Strong communication skills for cross-functional collaboration

WHY JOIN

  • Work in a startup-style environment with the backing of a larger business
  • Direct ownership over a high-impact hospitality analytics product
  • Opportunity to influence roadmap and product direction

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Analyst

Industries

  • Technology, Information and Media and Hospitality

Referrals increase your chances of interviewing at Harnham by 2x

Get notified about new Data Engineer jobs in London Area, United Kingdom.

London, England, United Kingdom 1 month ago

London, England, United Kingdom 6 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 weeks ago

Edgware, England, United Kingdom 2 months ago

London, England, United Kingdom 2 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Requirements

  • Proficiency in SQL and data modelling
  • Experience with dbt and BigQuery preferred
  • Comfortable creating data products and dashboards for end users
  • Strong communication skills for cross-functional collaboration

About the company

A well-established AI-driven technology business with a specialist hospitality division that operates like a startup. This team designs and builds pricing optimisation, forecasting, and business intelligence solutions for hotels, empowering clients with real-time, AI/ML-driven insights. You’ll be joining a close-knit product team creating customer-facing analytics tools with full ownership and creative freedom.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph ¡ LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

1:58 min

Shifting security permissions from applications to the data layer

Neena Thomas Neena Thomas ¡ World Congress 2026 Europe

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella ¡ World Congress 2023

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic ¡ JS Congress

55 sec

Integrating recommended UI architectures with Jetpack Compose

Crístian Viana ¡ World Congress 2023

Videos

See all

Related articles

See all