Global Data Engineering Lead

London
3 weeks ago
Create job alert

Data Engineering Lead

Join a leading global technology organisation 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 organisation must enhance customer experience and accelerate digitisation. 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 visualisations 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 Visualisation 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

Related Jobs

View all jobs

Global Data Engineering Lead, Data Engineer

Data Governance & Policy Lead

Data Software Engineer - London-based hedge fund- Top-Tier Global Trading Firm - Oxford Knight

Full Stack Developer

Data Engineer

Senior Data Engineer

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.

Jobs

Data Science vs. Data Mining vs. Business Intelligence Jobs: Which Path Should You Choose?

Data Science has evolved into one of the most popular and transformative professions of the 21st century. Yet as the demand for data-related roles expands, other fields—such as Data Mining and Business Intelligence (BI)—are also thriving. With so many data-centric career options available, it can be challenging to determine where your skills and interests best align. If you’re browsing Data Science jobs on www.datascience-jobs.co.uk, you’ve no doubt seen numerous listings that mention machine learning, analytics, or business intelligence. But how does Data Science really differ from Data Mining or Business Intelligence? And which path should you follow? This article demystifies these three interrelated yet distinct fields. We’ll define the core aims of Data Science, Data Mining, and Business Intelligence, highlight where their responsibilities overlap, explore salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer sense of which profession could be your ideal fit—and how to position yourself for success in this ever-evolving data landscape.

Jobs

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

Data science has rapidly evolved into a driving force for businesses and organisations worldwide. In the United Kingdom, companies across sectors—including finance, retail, healthcare, tech start-ups, and government agencies—are turning to data-driven insights to boost competitiveness and innovation. Whether you specialise in statistical modelling, machine learning, or advanced analytics, data scientists are in high demand throughout the UK’s vibrant tech ecosystem. If you’re an international data scientist aiming to launch or grow your career in the UK, one essential part of the journey is navigating the country’s visa and work permit system. From understanding how to secure sponsorship as a Skilled Worker to exploring the Global Talent Visa for leading experts, this article will help you understand the most relevant routes, criteria, and practical steps for your move. Let’s delve into everything you need to know about working in data science in the UK as an international professional.

Jobs

Top UK Data Science Labs and Institutes: Where Innovation Meets Opportunity

Data has become the linchpin of modern innovation. From forecasting consumer behaviour to enabling cutting-edge health research, data science underpins breakthroughs across nearly every industry. In the United Kingdom, the data science landscape is particularly robust, fuelled by a blend of academic excellence, government support, and vibrant private-sector collaborations. For jobseekers or career-changers keen to explore opportunities in this exciting field, DataScience-Jobs.co.uk offers a gateway to the latest openings, news, and resources. In this in-depth article, we’ll tour the top UK data science labs and institutes, highlight the unique research and career paths available, and outline how you can position yourself to thrive in a field that’s as dynamic as it is rewarding.

🍪 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.