Global Data Engineering Lead

London
1 month ago
Applications closed

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Machine Learning and AI Engineering Lead

Machine Learning and AI Engineering Lead

Principal Data Science & ML Engineering Consultant

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Data Engineer

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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.

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