Global Data Engineering Lead, Data Engineer

Newbury
4 weeks ago
Create job alert

Data Engineering Lead

Join a leading global technology organization that connects people, places, and things to help businesses thrive in a digital world. With expertise in connectivity and a leading IoT platform, this company delivers results that enable growth. As they transform into a Digital and Connectivity Services provider with a "Digital First" focus, they are committed to achieving double-digit revenue growth.

To succeed, the organization must enhance customer experience and accelerate digitalization. The Digital Transformation and Customer Experience team plays a critical role in delivering a simpler, faster, and better customer experience.

Role Purpose: As a Data Engineering Lead, you will deliver customer-focused data projects for global markets. Your primary focus will be on supporting data and analytics capabilities across the digital advice service. You will also support the rollout of the customer data platform, marketing effectiveness capabilities, and AI projects.

What You'll Do:

Create and deliver global reporting suites and data visualizations for stakeholders.

Set up ETL processes, data schemas, and governance frameworks while being hands-on with data engineering.

Design and maintain automated data pipelines from multiple sources.

Generate customer insights across digital platforms (Adobe Analytics, Medallia, Tealium).

Support strategic data migration into Google Cloud Platform and maintain best practices.

Integrate new digital technologies to enhance data insights.

Design automated data quality monitoring systems.

Conduct complex data analysis, including ML and statistical modeling.

Explore AI/ML techniques for smarter solutions.

Manage stakeholder relationships across global markets.

Who You Are:

Experienced data engineer, data scientist, or similar role with strong practical expertise.

Proven experience in strategic analysis, business insights, and reporting.

Knowledgeable about data warehousing and cloud platforms with migration experience (e.g., AWS, Azure, GCP).

Proficient in Python and SQL.

Knowledge of machine learning and statistical modeling is a plus.

Experienced in Martech tools (Adobe, Tealium, CDP, SalesForce, Pega, Data Visualization tools).

Strong analytical and problem-solving skills.

Experienced in delivering projects in a fast pacedc environment.

Understanding of data flows and business processes.

Excellent interpersonal and collaboration skills with the ability to work independently and manage multiple tasks.

We Are Aspire Ltd are a Commited employer

Related Jobs

View all jobs

Global Data Engineering Lead

Data Architect

Engineering Manager

(Urgent Search) Senior Economist or Data Scientist

Data Scientist Manager

Product Manager - Markets Data Lake

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.

UK Visa & Work Permits Explained: Your Essential Guide for International AI Talent

The United Kingdom has long been a hub of innovation, drawing some of the world’s brightest minds to its shores. In recent years, the country’s thriving technology ecosystem has been propelled by advances in Artificial Intelligence (AI), Machine Learning (ML), Robotics, Data Science, and related fields. From deep-tech start-ups in Silicon Roundabout to established global powerhouses, the UK remains at the forefront of AI research and development. Yet, for international AI professionals hoping to contribute to the UK’s tech growth, one of the most challenging hurdles can be understanding the visa and work permit landscape. The UK immigration system has its unique nuances, and it can be overwhelming to decide which route is best suited for your career aspirations. This comprehensive guide will help you navigate the main visa and work permit options for AI professionals, provide insight into the eligibility criteria, and offer practical tips on securing your dream role in the British AI sector.

Top UK AI Research Labs & Institutes: Best Places for AI Jobs

In recent years, the United Kingdom has emerged as one of the leading global hubs for artificial intelligence (AI) innovation. With a strong academic tradition, active technology communities, and robust government support, the UK has seen the rise of numerous world-class AI research labs and institutes. Many of these organisations not only drive significant academic breakthroughs but also foster powerful industry collaborations, creating thriving ecosystems where talent, investment, and creativity converge. If you are keen on pursuing an AI career—be it in academia or industry—understanding where these AI powerhouses are located, what they specialise in, and how they collaborate can help you map a clear route to success. In this blog post, written specifically for ArtificialIntelligenceJobs.co.uk, we delve into the top UK AI research labs and institutes, outline the career paths available, and highlight how you can be at the heart of Britain’s AI innovation.