# Lead Data Engineer at LSEG

LSEG is hiring a Lead Data Engineer in Hyderabad, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/1c3db0bc-0497-4bf1-815d-87cf4743d474?utm_medium=ai-agent).

AI Level 1, AI centrality 26 out of 100. IND-Hyderabad-CapitaLand.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 1 (score 26 out of 100)
- Location: IND-Hyderabad-CapitaLand
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/1c3db0bc-0497-4bf1-815d-87cf4743d474?utm_medium=ai-agent

## Description

Role Overview: We are seeking an experienced Lead Data Engineer to join our billing transformation program. The engineer will be responsible for sourcing telemetry data, building scalable data pipelines, supporting rating logic, and preparing billing-ready outputs for SAP invoicing. The role requires strong experience with AWS Glue, Snowflake, Python, SQL, and CI/CD practices. The candidate will also be responsible for implementing data quality checks, reconciliation controls, audit trails, and operational monitoring to ensure billing accuracy. This is a critical role supporting a transformation from raw telemetry usage data to rated, validated, and invoice-ready billing data. Key Responsibilities: · Data ingestion pipelines from telemetry systems. · Curated usage datasets in Snowflake. · Rating logic implementation and billing-ready datasets. · SAP invoice feed generation. · Data quality and reconciliation framework. · Exception and error-handling process. · CI/CD pipelines for data engineering deployments. · Monitoring, alerting, and operational dashboards. · Technical documentation and runbooks. Required Skills: · Strong hands-on experience in data engineering, ETL/ELT development, and large-scale data pipeline design. · Experience with AWS Glue, PySpark, Python, SQL, and cloud-based data processing. · Strong experience working with Snowflake as a data warehouse or enterprise data platform. · Good understanding of usage-based billing, rating engines, invoice feeds, or financial data processing. · Experience building data quality checks, reconciliation frameworks, audit controls, and exception handling processes. · Hands-on experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, AWS Code Pipeline, or similar. · Strong SQL skills for data analysis, validation, troubleshooting, and performance optimization. · Experience working with batch and event-driven data ingestion patterns. · Understanding of data modelling, partitioning, performance tuning, and cost optimization. Soft Skills: · Strong analytical skills and attention to detail—especially important for financial accuracy. · Ability to collaborate with cross-functional teams including Finance, Engineering, and Analytics. · Good communication skills to explain defects, logic, and test outcomes clearly. · High ownership and adaptability, with willingness to take on both QA and minor development tasks. Benefits · We are an equal opportunity employer with hybrid working. · Annual Leave and Parental Leave benefits. · Upskilling opportunities with job-relevant training and certifications. · Dedicated Employee Assistance and Wellbeing support. What you’ll get in return High-impact projects : We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges. Competitive benefits : You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development. Industry leadership : This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions. Collaborative environment : We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams. We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘Blended’, which requires attending the office at least three day per week while some teams and colleagues choose to collaborate in the office more frequently. We're proud to have been recognised as a Great Place to Work® in India ‘25 Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG Career Stage: Senior Associate London Stock Exchange Group (LSEG) Information: Join us and be part of a team that

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## Cite this page

Level. https://jobsbylevel.com/jobs/lead-data-engineer-at-lseg-ebd35a.

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