• About the Role: Grade Level (for internal use):

11

Lead Business Intelligence Engineer

Work directly with senior stakeholders across technology and business to shape how data is used in the organization. You will take ownership of a cloud based data platform and drive its next stage of growth. This role is about building solutions that are actually used and making data a core part of decision making

• The Team: We are a Business Intelligence team focused on turning complex data into clear and actionable insights. We work closely with the business, move fast, and take ownership of what we build. Collaboration is at the core of how we work, and we take pride in building solutions that have a real impact
• The Impact: In this role, you will influence how data is used across the organization. You will help move the company towards a more mature and structured approach to data, where information is trusted, accessible, and actively used in decision making. Your work will directly support business growth by enabling faster and better informed decisions.

What's in it for you:

• Professional Growth: You’ll have the opportunity to join a high-performing team, growing your technical skills, and contribute to strategic decisions
• Global Exposure: Collaborate with cross-functional teams across different geographies, gaining exposure to diverse perspectives and markets
• Innovation: Shape the future of data integration by working on cutting-edge technologies and solving complex challenges

Responsibilities:

• Design and lead the development of scalable data solutions that deliver reliable and actionable insights across the organization
• Drive the evolution of the data model to ensure it supports both current and future business needs
• Architect and oversee data pipelines that efficiently ingest, transform, and serve data for analytical use cases
• Define and drive best practices in data modeling, data quality, and performance optimization across the BI platform
• Develop and optimize semantic layers that enable self-service analytics and consistent reporting
• Guide the design of dashboards and analytical products to ensure clarity, usability, and business relevance
• Collaborate closely with business stakeholders to align data solutions with strategic goals
• Identify opportunities to enhance the platform with advanced analytics and AI where it adds real value

What we are looking for:

• Strong experience in Data Engineering, Analytics Engineering, or similar roles, with a proven track record of delivering end-to-end automated data solutions.

Deep understanding and hands-on experience with "AI-ready" data

. You know what it takes to feed AI models for automated reporting, including managing high-quality metadata, writing excellent field descriptions, and defining clear, robust relationships between tables.

• Proven experience designing scalable data models and building production-grade data platforms using the

Medallion

architecture (Bronze / Silver / Gold)

• Advanced SQL skills and confidence working with large and complex datasets.
• Hands-on experience with modern data warehouses, ideally BigQuery.
• Experience building, automating, and maintaining ETL or ELT pipelines in production environments.
• Experience with data transformation tools such as dbt or Dataform.
• Experience working with orchestration tools.
• Experience with infrastructure as code tools such as Terraform or similar.
• Solid understanding of cloud environments, preferably Google Cloud Platform (GCP)
• A degree in Mathematics, Computer Science, or a related field.

Strong communication and collaboration skills, with the ability to work directly with other engineering teams to data, as well as technical and business stakeholders.

What’s In It For You?

• Our Mission:

Advancing Essential Intelligence.

• Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

• Our Values:

Integrity, Discovery, Partnership

Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

• Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global

• Our benefits include: - Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.
• 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: It’s not just about you. S&P Global has perks for your partners and little, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

• Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

• Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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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. 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: [email protected] and your request will be forwarded to the appropriate person.

• US Candidates: Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)

• Strong experience in Data Engineering, Analytics Engineering, or similar roles, with a proven track record of delivering end-to-end automated data solutions.
• Deep understanding and hands-on experience with "AI-ready" data. You know what it takes to feed AI models for automated reporting, including managing high-quality metadata, writing excellent field des
• Proven experience designing scalable data models and building production-grade data platforms using the Medallion architecture (Bronze / Silver / Gold)
• Advanced SQL skills and confidence working with large and complex datasets.
• Hands-on experience with modern data warehouses, ideally BigQuery.
• Experience building, automating, and maintaining ETL or ELT pipelines in production environments.
• Experience with data transformation tools such as dbt or Dataform.
• Experience working with orchestration tools.
• Experience with infrastructure as code tools such as Terraform or similar.
• Solid understanding of cloud environments, preferably Google Cloud Platform (GCP)
• A degree in Mathematics, Computer Science, or a related field.