Data Engineer

LogicMelon
Greater Manchester
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

DATA ENGINEER / MANCHESTER / HYBRID / £60,000 - £67,000 PLUS BENEFITS

WEX Europe Services Ltd are the owner of the Esso Card Fuel Card Portfolio, and with offices across Europe and the US are one of the Europe’s largest providers of fuel cards.

As a Data Engineer at WEX, you’ll be responsible for building and maintaining the bridge between our data and the rest of the organization. You’ll work with stakeholders to understand business requirements and then implement SQL-first transformation workflows to deploy analytics code. You’ll help ensure the integrity, reliability, and usability of data for stakeholders, so they can make critical data-driven decisions.

How you’ll make an impact:


  • A highly motivated individual who loves working as part of a high performing team
  • Someone who cares deeply for team results, checks your ego at the door, and takes pride in owning results
  • You are constantly learning and upskilling
  • You are a critical thinker with strong analytical and problem-solving abilities.
  • You are self-motivated and able to work independently with minimum supervision.


We are seeking an experienced Data Engineer to play a critical role in the development of WEX's data & analytics capabilities. You will be part of an organization focusing on the development and delivery of data solutions. You’ll be part of a team that is responsible for:


  • Creating optimized data pipelines
  • Working with stakeholders to understand business requirements and then implement SQL-first transformation workflows
  • Designing efficient data marts that are catered towards the needs of very specific business units, functions, or departments


Experience you’ll bring

The successful candidate is motivated by data solutions, is technically proficient, and enjoys working in a fast-paced environment. You care deeply about the veracity (i.e. consistency, accuracy, quality, and trustworthiness) of data. You enjoy designing, maintaining, and optimizing data pipelines & infrastructure, for data collection, management, transformation, and access. You also enjoy understanding complex business requirements and translating them into data models for the end users.

 In addition, you:


  • Are a strong critical thinker with analytical and problem-solving abilities
  • Bring thought leadership to your area of responsibility and enjoy staying ahead in your field


You possess the following skills and experiences:


  • Solid understanding of ETL tooling to perform data transformation tasks
  • Strong understanding of data design principles and dimensional data modeling
  • Advanced SQL skills and understanding of query optimization strategies
  • Preferred skills and experience across the following; ETL Tools –Informatica IICS, Unix/Linux Shell Scripting, SQL Server & Stored Procedures (SSMS), SSMA (SQL Server Migration Assistant), GitHub, API Integration, Alteryx, Data Visualization, Automation & Scheduling, Documentation & Communication


What’s Next?
If you have the skills and passion to take on this DATA ENGINEER position then APPLY NOW for immediate consideration.

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 Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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 Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.