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Manager, Analytics Data Engineering

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As the Analytics Data Engineering Manager, you'll lead a team of data engineers and application developers to deliver cutting-edge analytics products for LSEG's global buy-side and sell-side clients. Lead the development of strategic technology initiatives and foster a culture of continuous improvement.

ROLE PROFILE
 As the Analytics Data Engineering Manager, you'll lead a team of data engineers and quantitative analytics application developers while closely collaborating with a high-performing team of technical product managers, architects, and engineers to deliver cutting-edge analytics products for LSEG's global buy-side and sell-side clients.


In this capacity, you will have the opportunity to engage in an exciting, strategic partnership between LSEG and Microsoft to develop next-generation data, analytics, and cloud infrastructure solutions that will transform the way customers discover, analyse, and trade securities around the world.

 

You will contribute to the creation of a data framework to support the transformation, cleansing and aggregation of data. You will create data pipelines for consumption by Analytics as a Service (AaaS) and Modelling as a Service (MaaS) services. These services will support the development of analytics models, products and solutions for end-user clients including large banks, hedge funds, and everything in between.

 


WHAT YOU'LL BE DOING:

  • Lead and manage a team of highly technical developers and scale partners to build innovative analytics products and solutions for clients.
  • Collaborate with Analytics Business, Product, Research, and Sales teams to deliver Analytics products and solutions used by leading financial institutions worldwide and drive revenues for a growing Analytics business.
  • Lead the development and execution of strategic technology initiatives in alignment with LSEG’s Analytics and Technology platform strategies and operational and risk processes.
  • Support an API-FIRST Analytics business strategy to design and build SaaS and PaaS analytics products and solutions to support the development of quantitative models, risk analytics, customised reporting tools, and other sophisticated analytical tools.
  • Deliver solutions to support a multi-cloud analytics platform and application infrastructure designed to deliver quality, efficient, and resilient Data and Analytics solutions to buy-side and sell-side clients.
  • Provide leadership, coaching, and development to the Quantitative Development community to drive high performance and ensure they have the technical skills and financial market knowledge required to deliver against long-term plans.
  • Foster a culture of continuous improvement in both internal processes and practices and external solutions and deliverables.




REQUIREMENTS:

  • Strong technical background with a degree in Computer Science, Engineering, Mathematics or a related STEM field.
  • ~10+ years of technology experience.
  • Expertise in designing and building ETL pipelines for batch and real-time data.
  • Proficiency in Python, Spark, and SQL.
  • Skilled in data warehousing, database design, and data modelling.
  • Strong experience with cloud platforms like Azure (preferred) or AWS.
  • Very strong interpersonal and communication skills.
  • Self-driven, goal-oriented team player.
  • Solid people leadership experience to nurture talent and grow an Analytics development team in a performance-based environment.




YOU WILL STAND OUT IF YOU HAVE:

  • Experience developing Analytics data pipelines in banking/finance applications, particularly fixed-income and securitised products.
  • Experience developing client-facing APIs and API-FIRST product delivery.
  • Solid experience in building Cloud environments, particularly Azure IaaS.
  • Experience with key Azure data platform services, including ADLS Gen2, Azure Data Factory, Azure Data Explorer, and Synapse Analytics.
  • Experience in leading highly technical development teams/projects, including onshore and offshore teams.
  • Strong practical knowledge and experience in Linux, Python, SQL/NoSQL, and related technologies.



 

Set alert for similar jobsManager, Analytics Data Engineering role in Bucharest, Romania or Bengaluru, India
LSEG (London Stock Exchange Group) Logo

Company

LSEG (London Stock Exchange Group)

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

8-12 Years

Category

Technology

Locations

Bucharest, Bucharest, Romania

Bengaluru, Karnataka, India

Qualification

Bachelor

Applicants

Be an early applicant

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