Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior / Lead Data Engineer – Eligible for SC AWS or Azure

Avanti Recruitment
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior / Lead Data Engineer

Senior AWS Data Engineer - London - £125,000

Senior Machine Learning Engineer

Lead Data Engineer

Lead Data Engineer

Senior / Lead Data Engineer – Consultancy – Eligible for SC Clearance – AWS or Azure - LondonI’m looking for an experienced Senior / Lead Data Engineer to join a successful, multinational Consultancy in their London office working on high profile client projects.As a Senior Data Engineer, you'll design and implement cutting-edge data solutions that transform their clients' businesses. You'll work with cross-functional teams to create scalable, efficient architectures that turn complex data challenges into opportunities for innovation.Your role * Design end-to-end data architectures that align with business objectives * Create cloud-native solutions leveraging PaaS, serverless, and container technologies * Build robust data pipelines for both batch and streaming processes * Collaborate with clients to understand their data landscape and requirements * Mentor team members and champion best practices in data architectureTo be considered you will be able to demonstrate skills and experience in many of the following: * Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQLDeep knowledge of either: * AWS (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) * Or * Azure (Data Factory, Synapse, Databricks, Event Hubs, Logic Apps, Cosmos DB) * Experience with data processing across structured and unstructured sources * Strong scripting abilities and API integration skills * Knowledge of data visualization and reporting best practicesDesirable but not essential: * Experience with data mining and machine learning * Natural language processing expertise * Multi-cloud platform experienceThey will with an Agile environment with Scrum practices, Cross-functional collaborative teams and need someone who can work from the London office or client sites 2 days a week.Salary: £80,000 - £100,000 + 25 days holiday (option to buy 5 more) + pension + Performance Bonus + share optionsLocation: Hybrid working – 2 days a week in the London office or on Client siteSC Clearance Eligibility – you must be eligible for SC Security Clearance (or higher) – this means at least 5 years residence in the UK and in that time you’ve not been out the country for more than 29 days consecutively and no more than 6 months out the country per year

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.