Data Engineering Analyst

Company/ Firm Name

S & P Global IHS Markit


Bracknell, UK

Published Date

14 March 2022

About the job:

Company & Team – “About Us”

S&P Global ETF and Benchmark Solutions (EBS) provide industry expertise with respect to ETF and Financial Index Data, offering solutions with respect to data management, publication, interpretation, analysis, and the regulatory requirements governing these data sets.

Within EBS, Index Management Solutions (IMS) alleviates index data management challenges by providing customers trusted, validated data sets leading to improved decision-making processes and reduced reputational risk. As a consolidated solution, Index Data Feeds reduce the time required to procure and integrate new data sets by delivering pre-validated, simplified data feeds that are fit-for-purpose and fully maintained both historically and on an ongoing basis.

We bring critical financial market data to our customers as a tailored solution, catered to be utilized in various analyses of investment management decisions. Utilizing financial market data through our managed service allows our customers to realize extended operational efficiencies and further focus on their core competencies.

Duties and Responsibilities – “Your Role”

Analyses and manages the integration of financial market data within our data management ecosystem, effectively developing the business logic required to bring conformity to disparate sets of internal and external data. Owns the development of new processes, as well as the enhancement of existing ones, critical to the standardization, enrichment, and consolidation of financial market data. Coordinates and facilitates operational support procedures with the broader product and operations teams.

Analyze data deliveries and determine the appropriate means of data integration utilizing available tools and development environments to create and maintain data processing activities.

  • Capable of independent work to understand data construction & calculation methodologies, nuances of different raw data deliveries and the interactions of those deliveries with each other and other internal data sets

  • Collaborate, when necessary, to not only ask questions and expand knowledge but to also achieve a consensus design while constructing new paradigms

  • Work with external data providers to better understand data deliveries as well as the methodologies and data management processes employed on each disparate data set

Ensure that business requirements are fully understood, with data being integrated and manipulated in a manner capable of meeting said requirements.

  • The Data Engineering Team’s primary stakeholders are our customer facing roles, regularly liaising with Business Development and Customer Services teams to integrate new data sets based upon ongoing customer demand.

  • Regularly interact with the Product Analysis and Design Team to field new business requests as it relates to the structure and/or calculations of integrated data

  • Contribute to the product development cycle by ensuring the business requirements outlined by Product Management conform to existing data integration processes and highlighting how existing processes conflict with business requirements

Provide requirements and technical support to product development as needed, including but not limited to:

  • Create product documentation outlining business logic utilized in data processing

  • Attend Knowledge Transfer/Refinement sessions to explain and advocate for existing or newly requested aspects concerning data manipulation functionality

  • Perform product demonstrations to internal stakeholders to provide training, knowledge transfer sessions as well as exhibiting new paradigms and functionality.

Lead the development critical operational procedures required to ensure the support and stability of data integration processes given evolving data sets in collaboration with product and operations teams.

  • Responsible for creating and maintaining data validation procedures, the Data Engineering Team is expected to work with operation teams to construct best practices for monitoring daily validations and rectifying when an issue is presented

  • Calculation methodologies and key reference data is updated regularly requiring updates to data integration processes to be fully managed by the Data Engineering team, who are therefore responsible for ensuring that the capture, communication, and implementation of such changes are facilitated and communicated

  • Develop new technical processes/activities to proactively consume, update and distribute data revisions as and when they occur

Job Requirements – “About You”

Mathematical, Analytics or Development Background

The business logic, as well as the tools and environments, utilized to integrate data are fundamentally based upon mathematical operations as well as interaction of disparate data sets in a relational manner. Therefore, having a background and experience with mathematics and coding languages is an expectation of the qualified candidate.

Previous Exposure to or Interest in the Fundamentals of Financial Market Data Management

Exposure, or at least an interest with a desire to expand knowledge, to Financial Market Data is a prerequisite to better understand business logic processes and envision solutions. The Data Engineering Team fields a wide variety of Product SME’s requirements and therefore must be able to easily comprehend the language and ideas portrayed.

Respectful, Passionate Team Player

Interacting with numerous stakeholders will require patience and mutual respect – in gathering requirements the team should be comfortable openly sharing requests just as the Data Engineering Team should be comfortable with respectfully challenging individuals to provide clear and concise requirements.

Organized with Clear Communication

A successful member of the Data Engineering Team will document and memorialize key business logic for reference amongst internal stake holders and will therefore be required to communicate, written or verbal, processes in an organized and meaningful manner. In raising new product development requests, the Data Engineering team will be required to clearly articulate requirements use-cases as well as reporting system bugs; to be successful in this role clear and concise communication is required.

Job Benefits – “What we offer”

  • Options to work from home

  • Opportunity to work with world experts in the field

  • Strong client base and broad product line

*** You must have a UK Passport/Right to Work in UK document for this position ***

Equal Opportunity Employer:

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person