Specialist, Data Engineer (Pyhton, SQL, Databricks, AI/LLM/Agentic AI)

Overview

As a Specialist in the Tech Market Economics Data Engineering team, you will build, develop and operate data pipelines, services and AI-ready data products that support Gartner's quantitative research capabilities. You will work across data engineering, analytics, AI and research to turn ideas into scalable, production-grade capabilities.

What you'll do

• Develop, test and deploy production-grade, scalable data pipelines and AI-ready data products.
• Translate prototype models into enterprise-scale solutions following best practices for reusable code design.
• Partner with Product, Data Science, Economic Modelling and Research teams to productionize emerging capabilities and support reliable adoption at scale.
• Integrate data from internal and external sources, including databases, APIs, analytical platforms and third-party systems.
• Implement automated data quality frameworks, validation processes and controls for analytics, AI and research applications.
• Operate and continuously improve production data platforms by identifying bottlenecks, improving resilience and expanding automation opportunities.
• Establish and promote data standards, metadata practices, naming conventions and data classification frameworks.
• Design engineering solutions that support critical analytical platforms and Gartner's future data, analytics and AI ecosystem.
• Work with researchers, economists and data scientists to contextualize, visualize and communicate data to improve understanding, decision-making and research impact.

What you'll need

• Master's degree in Computer Science, Data Science, Statistics, Software Engineering, Information Systems or a related quantitative discipline.
• 0-2 years of professional experience in data engineering, data management, analytics, software engineering or related disciplines involving data integration, transformation and quality.
• Ability to collaborate across technical and non-technical teams and translate business problems into scalable data and analytical solutions.
• Ability to help uncover and contextualize insights from data.
• Experience building, maintaining or supporting data platforms, databases, pipelines or analytical systems using data from multiple sources.
• Understanding of software engineering best practices, including testing, code quality, documentation, version control and reusable component design.
• Strong understanding of data quality, data governance and scalable engineering practices.
• Strong Python programming skills and experience developing data pipelines, analytical workflows or automation solutions.
• Experience using one or more of the following: SQL and modern data engineering technologies; ETL/ELT tools for data integration and workflow automation; APIs, web scraping technologies and data extraction tools; cloud, analytics or AI-enabled data platforms such as Databricks, Snowflake or similar.
• Ability to translate technical concepts and business problems into scalable analytical solutions for business, research and analytical audiences.

Details

• Location: Gurgaon.
• The role is part of the Tech Market Economics Data Engineering team.