This database engineering role is an opportunity to significantly contribute to the design and delivery of Newton's data pipelines across multiple database platforms.
This hand on technical role will require the candidate to understand Newton's database estate and how it is consumed by different groups across the business. This will involve working with business teams to understand their data needs, in addition to working with various development teams to deliver the data.
This is a great role for an experienced database developer / engineer who enjoys a level of business user interaction and enjoys being a data subject matter expert.
Newton Investment Management Limited is an active investment management firm, using thematic ideas about the long-term investment landscape to create and manage strategies that help secure clients' futures. Newton thinks on a global basis, with its single London-based investment team working collaboratively across asset classes and regions. The firm builds bold solutions, designed to meet the real-world challenges clients face, and the team manage them responsibly in the broadest sense - through embedding environmental, social and governance considerations, and engaging on issues that affect their clients. Those clients are based around the world, and include pension funds, corporations and charities and, via Newton's parent company BNY Mellon, individuals.
With offices in London and New York, Newton has £49.8bn assets under management (as at 31 March 2018), including assets managed by Newton Investment Management Limited as dual officers of Newton Investment Management (North America) Limited and The Bank of New York Mellon. News and other information about Newton is available at www.newtonim.com and via Twitter: @NewtonIM.
Hands on responsibility for data engineering of relational databases (Oracle and Microsoft SQL server).
Ensure the smooth running of all processes that use or derive data from data feeds.
Development and maintenance of existing and future data pipelines.
Analysis and solution construction for adhoc business data enquiries.
Provide impact analysis of data change across multiple systems.
Contributing to the development of analytics capabilities across the company.
Making improvements to the build and deployment mechanisms for database changes.