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La Fosse

Senior Analytics Engineer

CompanyLa Fosse
LocationEngland, United Kingdom
Posted At3/3/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (42.0%).
Occupation Type
Telecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700 (£21.38 per hour)
Standard minimum applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with La Fosse. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Senior Analytics Engineer – Urgent Contract Role (Looker + BigQuery)


Outside IR35 | £525–£550/day | Hybrid in London | Initial 3 months | ASAP start


We’re supporting a client building a new Retail Reporting solution on GCP, covering ingestion, modelling, and semantic layers. This is a hands‑on role leading the technical build across BigQuery, Dataform, and Looker, working with diverse retail datasets and a fast‑moving commercial team.


You’ll own the delivery of robust data pipelines, scalable retail data models, and optimised Looker‑ready structures.


You must be available within the next 2 weeks and 1-2 Central London office days will be required.


Key Responsibilities

  • Integrate and configure multiple retail data sources into GCP.
  • Build and maintain Dataform pipelines across raw, staging, and gold layers.
  • Develop unified sales, inventory, and shipping models in BigQuery.
  • Implement key retail logic: on‑hand vs on‑order, Weeks of Supply, and calendar alignment.
  • Optimise data models for Looker consumption, ensuring data quality, reconciliation, and performance.
  • Work with BI and Commercial teams to translate requirements into scalable, well‑structured data models

  • Ideal Candidate

    • Strong SQL and data modelling background.
    • Hands‑on experience with BigQuery, Dataform, and Looker modelling.
    • Experience with retail or supply‑chain datasets (POS, inventory, logistics) preferred.
    • Able to work independently and deliver within tight timelines.


    Tech Stack

    • BigQuery
    • GCP
    • Dataform
    • Looker
    • SQL


    If you are interested, please apply below.