Data Engineer

About the Role

We are looking for a Data Engineer to join the Infrastructure Consumption Platform (ICP) team and play a key role in delivering scalable, high-quality data solutions across our engineering landscape. In this role, you will focus on building and optimising data pipelines, engineering reliable datasets, and enabling data-driven decision-making across infrastructure and operational domains. Working closely with the Infrastructure Data Manager and multi-functional teams, you will help shape how data is engineered, governed, and consumed to support critical initiatives, including infrastructure transformation, lifecycle management, and AI-driven analytics.

What You'll Do

• Engineer data products - develop reusable data models, curated datasets, and reporting layers for analytics and downstream consumption.
• Develop reliable data platforms - implement automation, monitoring, and validation to ensure data integrity and performance.
• Collaborate across engineering and operations - translate business and technical requirements into scalable data solutions.
• Champion data governance - apply guidelines in modelling, lineage, documentation, and quality standards.
• Enable strategic outcomes - support transformation, lifecycle management, and cyber risk initiatives with engineered datasets.
• Drive AI-ready data foundations - build structured, feature-ready datasets for AI/ML use cases.
• Drive AI adoption - enable predictive analytics, anomaly detection, and intelligent automation use cases.
• Support agile delivery - chip in to sprint planning and iterative delivery.

What You'll Bring

• 4+ years in data engineering, analytics engineering, or similar roles.
• Strong SQL skills for transformation and optimisation.
• Experience building ETL/ELT pipelines.
• Proficiency in Python or scripting for automation.
• Understanding of data architecture and pipeline design.
• Strong analytical and problem-solving skills.
• Strong communication skills.
• Exposure to AI/ML data preparation is a plus.

Bonus Skills

• Knowledge of CI/CD and DevOps practices.
• Experience with Power BI or semantic models.
• Understanding of IT infrastructure domains.
• Experience supporting AI/ML workflows.

Why Join Us

• Work in a modern data platform team within Infrastructure Platform Engineering.
• Deliver scalable, engineering-led data solutions.
• Enable AI-ready data ecosystems.
• Collaborate in a global, high-impact environment.
• Grow in a culture of innovation and continuous improvement.

About the Company

The Infrastructure Platform Engineering (IPE) organisation is accountable for the engineering, automation, and operational reliability of Group Engineering's core infrastructure services including on‑premises data centres, compute platforms, storage, private cloud, virtualisation, databases, and middleware technologies. Our mandate is to modernise legacy infrastructure, uplift operational maturity, and deliver Infrastructure‑as‑a‑Service using automation-first engineering principles.

Within IPE, the Infrastructure Consumption Platform (ICP) team provides the foundational data capabilities that enable evidence‑based engineering decisions across the entire infrastructure stack. We maintain authoritative infrastructure datasets, lifecycle intelligence, and analytics used to support planning, refresh cycles, cyber risk management, and large-scale transformation programs.

London Stock Exchange Group (LSEG) is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. We are proud to be an equal opportunities employer and are committed to sustainability across our global business.

Benefits

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.