Lead Business Intelligence Engineer

S&P Global Market Intelligence; Dadri; On-site; INR 120,000 - 180,000; Full time

Job summary

S&P Global Market Intelligence is seeking a Senior Business Intelligence Engineer to shape data usage across the organization. You will lead the development of scalable data solutions, collaborate closely with business stakeholders, and enhance our data capabilities with advanced analytics.

This role requires strong experience in Business Intelligence, data engineering, and modern data practices, with a focus on improving decision-making processes through data.

Qualifications

• Proven track record of delivering end-to-end data solutions.
• Experience with modern data warehouses.
• Strong communication skills and ability to work directly with both technical and business stakeholders.

Responsibilities

• Design and lead the development of scalable data solutions.
• Architect and oversee data pipelines for analytical use cases.
• Develop and optimize semantic layers for analytics.

Skills

Business Intelligence

Data Engineering

SQL

Data modeling

ETL/ELT pipelines

Power BI

Education

Degree in Mathematics, Computer Science, or a related field

Tools

BigQuery

Terraform

dbt

Job description

About the Role:

[Senior/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.

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:

• A degree in Mathematics, Computer Science, or a related field
• Strong experience in Business Intelligence, Data Engineering, or similar roles, with a proven track record of delivering end to end data solutions
• Advanced SQL skills and confidence working with large and complex datasets
• Proven experience designing scalable data models and building production grade data platforms
• Hands on experience with modern data warehouses, ideally BigQuery
• Experience building and maintaining ETL or ELT pipelines in production environments
• Experience working with orchestration tools
• Experience with infrastructure as code tools such as Terraform or similar
• Experience with data transformation tools such as dbt or Dataform
• Experience with Power BI and a strong understanding of semantic layer design
• Solid understanding of cloud environments, preferably Google Cloud Platform
• Strong communication skills and ability to work directly with both technical and business stakeholders
• Interest in modern data practices and awareness of AI capabilities