National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Scala Engineer - Data - 1 Year FTC - Up to £120,000

Glasgow
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Revenue Platform

Data Engineer

Data Engineer Role - (FTC) - Hybrid

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Scala Engineer - Data - 1 Year FTC - Up to £120,000

Company Overview:

You will be working within global company who boast offices across the world - from London to Johannesburg, Singapore to the US + many more in between! This multinational consultancy provide Data & AI solutions to transform client business and drive growth in a range of different industries.

This is an exciting opportunity to gain experience working with a major banking client on a highly specialist project. Working with multiple revered clients will not only allow you to gain excellent experience, but this could be a CV defining project.

Role Overview:

As a Scala Data Engineer you will design, develop and maintain Scala applications for Big Data purposes. This role you will be the Scala Engineer responsible for migrating an on-premise Hadoop system onto AWS cloud platform. Designing and implementing ETL pipelines, and using a combination of Big Data technologies, and modern cloud stack will be your day-to-day.

Requirements:

Strong Scala Programming Experience (Data)
Hadoop Experience
AWS Experience

This role is an urgent requirement, please do not hesitate to apply or you could miss this opportunity!.

Get in touch by contacting me at or on (phone number removed)!

Big Data, Hadoop, Scala, Spark, AWS, Migration, Data Engineer, Consultancy, Banking, Finance

National AI Awards 2025

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.

Jobs Careers

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

Jobs

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

Jobs

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.