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Data steward - geospatial

Tetbury
S&P Global, Inc.
Steward
€60,000 a year
Posted: 17 April
Offer description

About the Role:

Grade Level (for internal use): 10

The Geospatial Solutions team sits within the Data Stewardship pillar of SPGI’s Enterprise Data Organisation and focuses on building scalable, reproducible geospatial solutions that support enterprise data initiatives. The team values standardization, collaboration, and knowledge sharing, working closely across EDO Geospatial and with partner verticals such as Partnerships and Operations to ensure alignment, data integrity, and shared innovation.

The team dynamic is collaborative, solution‑oriented, and driven by natural problem‑solving, bringing together geospatial expertise and engineering best practices to deliver consistent, high‑quality geospatial capabilities across SPGI.


Responsibilities and Impact:

* Steward and maintain authoritative spatial datasets, ensuring geodetic integrity, attribute consistency, and alignment with enterprise geospatial standards.
* Implement and oversee robust data quality, QA/QC, and validation processes to identify and remediate spatial, topology, and schema issues.
* Design, build, and optimise scalable geospatial ETL workflows using tools such as FME, Python, and cloud‑native technologies.
* Automate data ingestion, validation, and delivery pipelines to improve reliability, efficiency, and reduce manual processes.
* Collaborate closely with operations, product and technology teams to ensure accurate updates to spatial data and integration into enterprise platforms and client‑facing products.
* Contribute to geospatial modernisation initiatives across SPGI, including standardisation, cloud adoption, and preparing geospatial datasets for advanced analytics and AI‑driven use cases.


What We're Looking For:


Basic Required Qualifications

* Bachelor’s degree in Geography, Geospatial Science, GIS, Computer Science, Engineering, or a related field (or equivalent experience).
* Strong experience in geospatial data management, governance, and spatial data quality assurance.
* Hands‑on experience building and maintaining geospatial ETL pipelines using tools such as FME, Python, and GIS platforms.
* Strong understanding of spatial data standards, coordinate reference systems (CRS), topology, and geodetic principles.


Basic Soft Skills

* Strong analytical thinking and natural problem‑solving ability.
* Ability to collaborate effectively with both technical and non‑technical stakeholders.
* Strong attention to detail and commitment to data quality and accuracy.
* Clear communication and documentation skills in a collaborative environment.


Additional Preferred Qualifications

* Experience working with large‑scale/global infrastructure or spatial datasets (e.g., pipelines, utilities, transportation).
* Experience with cloud‑based geospatial data platforms or modern data engineering workflows.
* Familiarity with spatial ecosystems, open‑source GIS tools (e.g., QGIS), spatial databases (e.g., PostGIS/Oracle/ESRI), APIs, and enterprise data platforms.
* Experience supporting data standardisation, governance frameworks, or geospatial modernisation initiatives.


Preferred Soft Skills

* Proactive mindset with the ability to identify improvement opportunities.
* Strong stakeholder engagement and cross‑team collaboration skills.
* Curiosity and willingness to learn new tools, technologies, and approaches.


Benefits

* Health & Wellness: Health care coverage designed for the mind and body.
* Flexible Downtime: Generous time off helps keep you energized.
* Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
* Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs.
* Family Friendly Perks: Best‑in‑class benefits for families.
* Beyond the Basics: Retail discounts to referral incentive awards—small perks can make a big difference.


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.


EEO Compliance

If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.


US Candidates Only

US candidates must acknowledge the EEO poster regarding discrimination protections under federal law. The poster can be found at http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

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