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Data Engineer

LSEG is a leading global financial markets infrastructure and data provider, operating in 70 countries with 25,000 employees worldwide.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Finance

Description For Data Engineer

LSEG (London Stock Exchange Group) is seeking a Data Engineer to join their team in London. As a key member of the data engineering team, you'll be responsible for designing and implementing functionalities on their Microsoft Fabric-based platform. The role involves working with semi-structured data, modernizing data products, and leading the evaluation of emerging technologies. LSEG is a global leader in financial markets infrastructure, operating in 70 countries with 25,000 employees worldwide.

The ideal candidate will have strong experience in data platforms, particularly in the financial services industry, with expertise in Azure's PaaS/SaaS offerings. You'll be working with cutting-edge technologies including Spark, Delta.io, and various Azure services. The role requires both technical excellence and strong communication skills, as you'll be partnering with SMEs and Tech Leads to deliver high-quality solutions.

This is an excellent opportunity to join a prestigious organization that's at the forefront of financial technology. LSEG offers comprehensive benefits including healthcare, retirement planning, and wellbeing initiatives. The company has a strong commitment to sustainability and diversity, operating with core values of Integrity, Partnership, Excellence, and Change. You'll be part of a collaborative culture that encourages innovation and provides opportunities for professional growth while working on systems that help drive global financial stability.

Last updated a day ago

Responsibilities For Data Engineer

  • Build and maintain secure and compliant production data processing pipelines on Microsoft fabric and azure
  • Design, implement, monitor, and optimize data platforms
  • Implement data solutions using Azure services including Delta.io, Lakehouse, Fabric, Azure Cosmos DB, Azure Data Factory, Spark
  • Provide partnership and support to SME's and Tech Leads
  • Ensure data pipelines and data stores are high-performing, efficient, organized, and reliable

Requirements For Data Engineer

Python
  • Experience in Data Platforms (in Financial Services industry)
  • Experience with Azure's PaaS/SaaS offerings (Fabric, Synapse, Purview, ADF, Azure Data Lake Storage)
  • Strong proficiency in Spark, SQL, and Python/scala/Java
  • Experience in building Lakehouse architecture using open-source table formats
  • Strong notions of security best practices
  • Understanding of Azure DevOps
  • Experience with Agile development processes (SCRUM and Kanban)
  • Strong communication and interpersonal skills

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Healthcare
  • Retirement planning
  • Paid volunteering days
  • Wellbeing initiatives

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