Data Engineer – Modern Data & AI Platforms

CompanyTempleton & Partners - Innovative & Inclusive Hiring Solutions

LocationLondon Area, United Kingdom

Posted At1/2/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (40.0%).

Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

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Description

Data Engineer – Modern Data & AI Platforms

London (Hybrid 2 days) | Contract/Permanent | 🌍 Global Consulting Environment

Build the data foundations behind AI, automation, and real-world impact.

We’re hiring a Data Engineer to join a fast-growing digital and data practice working with a major global enterprise client operating across energy, manufacturing, chemicals, infrastructure, automotive, and commodities.

This is a hands-on engineering role where you’ll design and run the data systems that power analytics, automation, and AI-driven solutions — working alongside consultants, analysts, and data scientists in a true delivery-focused environment.

No prior experience with our specific data platform is required. If you’re a strong engineer who enjoys learning new tools and solving real business problems with data, we’ll get you there.

🌟 What you’ll be doing

Designing and building robust, automated data pipelines on a modern cloud data platform
Transforming and integrating data from multiple sources — databases, APIs, files, and unstructured formats

Owning and improving existing data solutions: monitoring, debugging, enhancing, and scaling them

Developing back-end logic, APIs, and data services that support analytics and AI use cases

Preparing high-quality datasets for dashboards, advanced analytics, and machine learning

Collaborating closely with consultants, analysts, and data scientists to deliver end-to-end solutions

Contributing to proofs of concept, client roadmaps, and technical proposals

Supporting data governance, security, and best practices

Mentoring junior engineers and sharing knowledge across the team

🌟 Essential experience

3+ years working as a Data Engineer or in a similar data-focused engineering role
Strong Python and SQL skills
Experience building and orchestrating data pipelines (Airflow or similar tools)
Hands-on work with cloud platforms (AWS and/or Azure)
Solid understanding of databases, data warehouses, and data lakes
Experience integrating systems via APIs and back-end services
Comfortable working with version control and CI/CD workflows
Confident communicator with business-level English

Nice to have (but not required)

Exposure to analytics or AI-driven solutions
Experience working with unstructured data (text, PDFs, web data)
Familiarity with web frameworks or lightweight front ends
Power BI, data visualisation, or analytics modelling experience
Awareness of machine learning, LLMs, or vector databases
Agile delivery experience or consulting background

🌟 Why join?

Work with a global consulting organisation delivering data solutions at scale
Exposure to enterprise-grade data and AI platforms
A role that blends deep engineering with real business impact
Ongoing training and support to learn new tools and technologies
Clear progression toward Senior Data Engineer and beyond
Collaborative, international team environment

🌟 Who this role is perfect for

Data Engineers who enjoy building things that actually get used
Engineers ready to step into a broader, more impactful role
Professionals curious about AI, automation, and modern data platforms

People who like combining technical depth with client-facing problem solving

🌟 Interested?

Apply now with your latest CV showing all your relevant experience and email your CV with daily/rate/salary expectations, availability to interview and start

marina.economidou@templeton-recruitment.com