Senior Data Engineer - Customer Success
LSEG
We’re building the next generation of capital markets technology. Global capital markets generate an ocean of fastmoving, interconnected, and highly complex data—and we’re on a mission to make sense of it. Our teams are passionate problem‑ solvers‑ dedicated to capturing, storing, and transforming the world’s market data. If you thrive in data-driven environments and want to help power the technology behind the world’s leading financial institutions, we’d‑ love to meet you.
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
What You’ll Do
- 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.
Required Qualifications
- 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.
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