Analytics Engineer

Location UK / Belfast

Job Type Permanent full-time, TemporaryContract

Salary Not disclosed

Updated 3 days ago

Reference 1351506

 Job Description

Analytics Engineer Although not a household name, State Street is one of the world’s largest and most important financial services institutions, providing round-the-clock services to the global investment community. We touch $33 trillion in assets every day, and are the world’s third largest...

Analytics Engineer

Although not a household name, State Street is one of the world’s largest and most important financial services institutions, providing round-the-clock services to the global investment community. We touch $33 trillion in assets every day, and are the world’s third largest investment manager with over $2.8 trillion in assets under management. To do this we manage as much data as one of the internet giants on nearly as large a technical footprint.

In January 2018, we launched one of the industry’s largest technical transformation projects, in effect building a new bank from the ground up. This project isn’t greenfield in the way most banks claim projects are; we’ve started with a blank sheet of paper both operationally and technically. We’re using the same technologies that Silicon Valley giants are using: aggressive use of multiple public clouds, building our own private cloud to achieve even better performance, pushing out microservices into what will be one of the largest Kubernetes installations in the world, leveraging immutable storage to process and store hundreds of terabytes of data a day, transforming our industry through application of distributed ledger technology and cognitive computing, aggressively participating in open source communities driving our systems.

This isn’t a traditional banking role. This is a chance to push your technical skills with people more comfortable in a technology firm than an investment bank, but solving real problems that affect anyone with any form of savings worldwide (not just trying to get people to click on ads). We don’t expect you to wear a suit, we don’t expect you to not be able to tell your friends what you’re working on, we don’t expect you to sit in meetings 5 hours a day.

This Team

This role is for the technology team that is responsible for our Unified Data Architecture, to create the building blocks that deliver the application operating system for State Street, and covers everything that an application DevOps team would work with on a daily basis:

  • We use “kubectl as a service” across public and private clouds
  • We manage everything else in our common Kubernetes infrastructure, including package management (e.g. Helm), networking (e.g. Calico), service mesh (e.g. Istio, Conduit)
  • We provide analytics sandbox environments allowing teams to analyze data at scale using the best tools for the task.
  • We capture the exploratory analytics processes and create managed batch and streaming processes.
  • We create and apply analysis to deliver insight, reports and visualizations internally and to our customers.
  • We use and contribute to open source technologies ensuring we have access to the most efficient tools for a given task
  • We develop application archetypes and training materials and actively assist in helping application developers make the best use of this infrastructure
  • We are a geographically distributed team, including with fully remote workers
  • We do all this in a true DevOps fashion with agile infrastructure and a follow-the-sun mandate

This Role

We are looking for data scientists and data engineers across our infrastructure and technology development streams.

  • You will work with other members of your team to investigate feature requests, performed detailed analysis and specification (where required), implement, and test new functionality
  • You will support a follow-the-sun operations approach working with colleagues across three continents
  • If your experience is more in data science we expect you will know at least one of our key programming languages: Spark, Python, R and have a track record of using it at scale to deliver insight or analysis.
  • If you experience is more in data engineering, we expect you will have familiarity with tools in the Hadoop ecosystem in particular Spark, PySpark, RSpark as well as D3, SQL, NoSQL, etc.
  • The ideal candidate will have mix of data analysis, data engineering and data visualization.
  • You will work in a truly agile way, all the way down to using agile infrastructure techniques
  • You will diagnose, debug, and correct problems in live infrastructure, some of which supports our production clients
  • You will interact with your peers across the Omnia effort across all teams to ensure that best practices are followed throughout the organization
  • You will be an active member in the Open Source communities surrounding the technologies that we use on a daily basis
  • You will help mentor more junior colleagues, including fresh college graduates
  • We are open to fully remote working, but we have a preference for candidates located in one of our key next-generation engineering centres (London, Boston, New York City, Austin, and Belfast)

As we’re hiring very rapidly for the right candidates, if you have experience or interest in any of the technologies we work with, we’d love to hear from you!

Requirements

Successful candidates will:

  • Experience in working on production-grade systems over time.
  • A degree in computer science or related computational discipline or equivalent experience acquired on the job.
  • Experience in working on an Open Source project a definite plus
  • Good English language skills
  • Appreciate the value diversity (in all its forms) brings to our team and company
  • Experience working in a financial services environment is not required or expected.

To apply please click on the APPLY NOW button below to be directed to the company website