Global Data Engineering Lead, Data Engineer

Newbury
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer (3 Days Left)

Data Scientist II, WW Installments

AI / Machine Learning Engineer (Remote)

Engineering Manager

Distinguished Engineer - AI & Data Science

Lead MLOps Engineer

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

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 Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.