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

AI Level 1, AI centrality 14 out of 100. Gurgaon.

## Details

- Company: [Gartner](https://jobsbylevel.com/companies/gartner)
- AI level: AI Level 1 (score 14 out of 100)
- Location: Gurgaon
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/fdc76a6e-3307-40c1-a104-0ed75d90ba4e

## Description

About this role: As a Specialist in the Tech Market Economics Data Engineering team, you will join a rapidly growing team in builder mode, where curiosity, initiative and engineering excellence help shape Gartner's next generation of analytical platforms. Working alongside technical leaders and architects, you will help build, develop, and operate the data pipelines and services that power Gartner's quantitative research capabilities. This is a critical role in scaling analytical and AI-enabled capabilities from concept to production while helping reimagine Gartner's data, analytics and market intelligence ecosystem. Few roles provide comparable exposure to Gartner's research, data, forecasting, market intelligence and AI initiatives, creating exceptional opportunities for learning, growth and career development. Working at the intersection of data engineering, analytics, AI and research, you will help transform innovative ideas into scalable, production-grade capabilities leveraged across Gartner Research and Advisory. What you will do: Develop, test, and deploy production-grade, scalable data pipelines and AI-ready data products, translating 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 ensure they can be adopted reliably at scale. Integrate data across a wide range of internal and external sources, including databases, APIs, analytical platforms and third-party systems. Implement automated data quality frameworks, validation processes, and controls to ensure consistent, trusted, decision-grade data for analytics, AI, and research applications. Operate and continuously improve production data platforms, 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 balance support for critical analytical platforms with the reimagination of Gartner's future data, analytics and AI ecosystem. Work with researchers, economists and data scientists to contextualize, visualize and communicate data in ways that improve understanding, decision-making and research impact. What you will need: Education : Master's degree in Computer Science, Data Science, Statistics, Software Engineering, Information Systems, or a related quantitative discipline. Experience : 0-2 years of professional experience in data engineering, data management, analytics, software engineering, or related disciplines involving data integration, transformation and quality. Business Translation : Ability to collaborate across technical and non-technical teams, translating business problems into scalable data and analytical solutions while helping uncover and contextualize insights from data. Platform Experience : Experience building, maintaining or supporting data platforms, databases, pipelines or analytical systems using data from multiple sources. Engineering Best Practices : Understanding of software engineering best practices including testing, code quality, documentation, version control and the design of reusable components. Quality & Governance : Strong understanding of data quality, data governance and scalable engineering practices. Programming : Strong Python programming skills and experience developing data pipelines, analytical workflows or automation solutions. Technology Stack : 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 (e.g., Databricks, Snowflake or similar) Who you are: Data-driven and analytically curious, with a genuine passion for data, AI technologies, and the role they play in creating scalable

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Source: https://jobsbylevel.com/jobs/specialist-data-engineer-pyhton-sql-databricks-ai-llm-agentic-ai-at-gartner-aa1ec8

## Cite this page

Level. https://jobsbylevel.com/jobs/specialist-data-engineer-pyhton-sql-databricks-ai-llm-agentic-ai-at-gartner-aa1ec8.

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