Data Engineer (Airport/Manufacturing Experience Required)

Middlesex
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - London, UK (Fully REMOTE)

Senior Machine Learning Engineer

Data Scientist

Senior Machine Learning Engineer

Data Engineer (Airport/Manufacturing Experience Required)
Location: Middlesex 3 days in the office 2 days' work from home
Salary: Negotiable to £70,000 Dependent on Experience
Job Reference J12953

Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

A market leading global logistics organisation seeks an experienced Data Engineer to support the development and optimisation of data pipelines. The role will focus on ensuring the reliable flow of information across the business, maintaining the highest standards of quality data and integrity. This is an exciting opportunity to join an established and collaborative team working in a fast paced, team orientated environment.

Job Role and Responsibilities
·Assist in the design, development, and maintenance of data pipelines and ETL processes
·Collaborate with data scientists, analysts, and other stakeholders to ensure accurate data collection and delivery
·Monitor and troubleshoot data systems, addressing issues promptly to minimise downtime
·Support the implementation of data quality and data governance best practices
·Participate in code reviews and contribute to the continuous improvement of our data infrastructure
·Document processes, configurations, and data flows to facilitate knowledge sharing across the team
·Responsibility for planning activities and projects
·Ensures the highest quality of information, reports and communications are being delivered to our customers and internally
·Build business partnerships with key customers and other external partners by understanding the business and political environment in which they operate and by adding personal value
·Strategically challenges the status quo for identification of ongoing enhancements to operational effectiveness and enhancement of the customer experience

Role Qualification
·Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related discipline
·Proven experience of SQL and relational databases
·Familiarity with at least one programming language (e.g. Python, Java, or Scala)
·Proven experience of data warehousing concepts and ETL processes
·Strong analytical skills and attention to detail
·Excellent verbal and written communication skills in English
·Prior airport or manufacturing industry experience essential

If you are interested in this exciting new opportunity, please make an application today!

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

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 AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.