Data Engineer

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LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open‑access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open‑access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

As a Data Engineer, you’ll design and implement functionalities, focusing on Data Engineering tasks. You’ll be working with semi‑structured data to ingest and distribute it on a Microsoft Fabric‑based platform, modernizing data products and distribution channels. You’ll drive the software development lifecycle for continuous data delivery and lead the evaluation and adoption of emerging technologies.

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• Provide partnership and support to SMEs and Tech Leads to ensure delivery on commitments.
  
• Build and maintain secure and compliant production data processing pipelines on Microsoft Fabric and Azure to ingest, land and transform data for data products.
  
• Ensure that data pipelines and data stores are high‑performing, efficient, organized and reliable, given a set of business requirements and constraints.
  
• Design, implement, monitor, and optimize data platforms to meet the data pipeline needs from functional and non‑functional requirements.
  
• Provision data storage services, ingest streaming and batch data, transform data, implement security requirements, implement data retention policies, identify performance bottlenecks, implement monitoring and telemetry, and access external data sources.
  
• Design and operationalise large‑scale enterprise data solutions and applications using one or more Azure data and analytics services.
  
• Implement data solutions that use the following Azure services: Delta Lake (or Delta.io), Lakehouse, Fabric, Azure Cosmos DB, Azure Data Factory, Spark, Azure Blob storage, Microsoft Purview and related services.
  

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• Depending on seniority, relevant experience in Data Platforms (in Financial Services industry) and Azure’s PaaS/SaaS offerings (Fabric, Synapse, Purview, ADF, Azure Data Lake Storage etc.).
  
• Demonstrable experience in a similar role, with a focus on cloud‑distributed data processing platform for Spark and modern open table concepts like Delta / Iceberg.
  
• Solid experience with Azure: Synapse Analytics, Data Factory, Data Lake, Databricks, Microsoft Purview, Monitor, SQL Database, SQL Managed Instance, Stream Analytics, Cosmos DB, Storage Services, ADLS, Azure Functions, Log Analytics, Serverless Architecture, ARM Templates.
  
• Strong proficiency in Spark, SQL, and Python/Scala/Java.
  
• Experience in building Lakehouse architecture using open‑source table formats like Delta, Parquet and tools such as Jupyter Notebook.
  
• Strong knowledge of security best practices (e.g., using Azure Key Vault, IAM, RBAC, Monitor etc.).
  
• Proficient in integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure suitable for building analytics solutions.
  
• Understanding of the data through exploration, experience with data retention, validation, visualization, preparation, matching, fragmentation, segmentation and enhancement processes.
  
• Ability to think strategically and operate in day‑to‑day delivery mode for the role.
  
• Demonstrates ability to understand business requirements and the implications on current and future roadmaps.
  
• High level understanding of Azure DevOps.
  
• Agile development processes (SCRUM and Kanban).
  
• Strong communication, presentation, documentation and interpersonal skills.
  
• Ability to self‑manage and work independently in a fast‑paced environment with dynamic priorities.
  

Mid‑Senior level

Full‑time

Information Technology

IT Services, IT Consulting, Financial Services

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. We value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

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