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Senior Data Engineer - Customer Success

Bangalore, Karnataka, IN💼 Full-time🗓 2026-04-04 → 2026-07-30

Core

Diagnosing, resolving, and escalating technical issues across global data pipelines to ensure reliability and performance for financial firms.

Role type

Senior IC data engineer (operations & support)

Builds

Large-scale automated data flows and ingestion/transformation pipelines for financial institutions

Domain

Capital markets / Financial data infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Python (object-oriented), job scheduling (Jenkins, Rundeck, Airflow), batch data processing, ETL pipelines, Data Lake architectures, Linux server operations, Git version control, data movement automation

Preferred skills

Cloud data platforms (AWS Redshift, Athena, Dremio, Snowflake), Kubernetes, AWS EC2/ECS/EKS

Responsibilities

Provide technical support for data ingestion, transformation, and delivery pipelines; Troubleshoot and resolve issues related to batch processing, automation, and data job failures; Collaborate with engineering teams to improve pipeline stability and performance; Manage and monitor processing workflows and job schedules; Support clients by analyzing incidents, identifying root causes, and driving resolutions or escalations

Seniority

Senior, hands-on IC

Rewrite
## Role Overview As a Senior Data Engineer - Customer Success, you will support global financial firms by diagnosing, resolving, and escalating technical issues across our data pipelines. You will work closely with clients and cross-functional engineering teams to ensure the reliability and performance of large-scale, automated data flows. This role sits at the intersection of data engineering, operations, and client support—ideal for someone who enjoys solving complex data challenges in a high-impact environment. ## Responsibilities - Provide technical support for data ingestion, transformation, and delivery pipelines. - Troubleshoot and resolve issues related to batch processing, automation, and data job failures. - Collaborate with other engineering teams to improve pipeline stability and performance. - Manage and monitor processing workflows and job schedules. - Support clients by analyzing incidents, identifying root causes, and driving resolutions or escalations. ## Requirements - Strong experience with Python, including writing and maintaining object-oriented applications. - Hands-on experience with job scheduling and workflow tools such as Jenkins, Rundeck, Apache Airflow, or similar. - Background working in batch data processing or large-scale automated data environments. - Experience with ETL pipelines and Data Lake architectures. - Proficiency with Git version control (GitLab or GitHub). - Strong command of Linux, including server operations, system processes, daemons, and task scheduling. - Comfortable with data movement operations and large-scale automation. - Ability to work US shift: 6:30 PM - 3:30 AM IST. ## Nice to Have - Experience with cloud data platforms such as AWS Redshift, Athena, Dremio, or Snowflake. - Experience with execution platforms like Kubernetes and virtual hardware like AWS EC2, ECS, and EKS. ## Benefits - Join us and be part of a team that values innovation, quality, and continuous improvement. - LSEG is a leading global financial markets infrastructure and data provider. - Our values of Integrity, Partnership, Excellence, and Change underpin our purpose and set the standard for everything we do, every day. - We are proud to be an equal opportunities employer. - We are committed to sustainability across our global business. - LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
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