Location: London

Business Area: Engineering and CTO

Ref

Description & Requirements

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. Bloomberg’s Data Technology Infrastructure Department designs and builds large scale platforms to acquire financial reference and pricing data globally from various sources, delivering billions of data points daily to clients for investment analysis.

The ETL Pipeline Orchestration Platform team owns a low code platform that helps engineers and analysts author and manage data transformation, derivation, validation and database loading themselves. As adoption accelerates, we are redesigning key components to support further throughput and resiliency while maintaining the availability of the system.

What’s in it for you?

We are the connecting tissue across the various core capabilities offered by our sibling teams. If you join our team, you will be working on solving the fundamental problems in event driven orchestration systems using both open source technologies as well as in house ones. We are a multi lingual team taking care of python applications, performant queue broker in Go to C based Python extensions and everything in between. If you have a knack for distributed systems or a love for orchestration platforms, join us!

Future Initiatives

We would like to work on the following in this year and next:

• Develop, deploy and integrate our internal priority queue system to mitigate head of line blocking issues and optimize the time to market for the most important tasks
• Deprecate the on cloud orchestration system by unifying with on prem system
• Component registration / management faculty to make the onboarding processing easier for the service owners
• Introduce multi tenancy with granular privileging for both pipeline creation and edit time as well as runtime
• Better support and capability for creation of DAG in orchestration
• Programmatic recipe creation, modification and interaction to be API first
• LLM integration to assist in authoring ETL tasks

We’ll trust you to:

• Work with us to design the user friendly, fault tolerant and scalable orchestration platform
• Participate in the full SDLC of various components and systems that make up of the orchestration platform
• Familiarize yourself with the Data Processing / Analysis tasks taken on by the Data Department and systems developed by our sister teams
• Have your antenna up and bring the latest development in OSS and capabilities into our stack
• Mentor less experienced members of the team

You’ll need to have:

• Demonstrable experience building fault tolerant and horizontally scalable distributed applications / systems dealing with distributed system specific concerns
• Demonstrable experience writing production code in either Python, Go, Rust, JavaScript/TypeScript or Java
• Strong problem solving skills

We’d love to see:

• Knowledge of Database Systems and trade offs in the distributed systems
• Familiarity with API Designs
• Familiarity with Orchestration Frameworks such as Apache Airflow, Argo Workflows, Dagster etc.
• Experience working with and designing systems utilizing AWS

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email