Data Engineer

La Fosse
City of London, England
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Noir Switzerland, United Kingdom
£87,291 – £113,478 pa Hybrid

Data Engineer

Lynx Recruitment London, United Kingdom
£40,000 – £85,000 pa On-site

Data Engineer

Gleeson Recruitment Group Birmingham, United Kingdom
£65,000 – £75,000 pa On-site

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£60,000 – £72,000 pa Hybrid

Data Engineer

hireful Exeter, United Kingdom
£50,000 – £55,000 pa Hybrid

Data Engineer

Robert Walters Manchester, United Kingdom
£55,000 – £60,000 pa Hybrid
Posted
23 Oct 2025 (6 months ago)

Data Developer (Microsoft Fabric / Azure)

Location: Essex or Southampton (on-site, parking available)

Salary: £45,000 - £56,000 per annum


The Opportunity

La Fosse is partnering with a leading global logistics organisation on an exciting data transformation project. We’re seeking an experienced Data Developer to join a new three-person data team within Operations, focused on supporting and enhancing Terminal Operating Systems.

This role will play a key part in the company’s migration from QlikView to Microsoft Fabric, helping to design and deliver the next generation of their data environment using Azure technologies.


Key Responsibilities

  • Lead and support the QlikView → Microsoft Fabric migration
  • Build and maintain ETL processes and data pipelines
  • Develop scalable solutions in Azure Data Factory and Microsoft Fabric
  • Create insightful Power BI dashboards and visualisations
  • Write and optimise SQL queries to support reporting and analytics
  • Collaborate across teams to enhance data quality and governance


Key Requirements

  • Proven Microsoft Fabric and Azure Data Factory experience
  • Strong ETL, data pipeline, and SQL skills
  • Expertise in Power BI and data visualisation
  • Background as a Data Developer / Data Engineer
  • Experience migrating from QlikView (essential)
  • Azure certifications beneficial
  • Must be able to drive to site if Essex is the closest office (onsite parking available)


About the Organisation

Our client is a global leader in logistics and supply chain innovation, with major UK operations in Essex and Southampton. They’re investing heavily in data and digital technology to deliver smarter, more sustainable solutions!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.