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Job description
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.
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.
Ideal for someone who enjoys solving complex data challenges in a high-impact environment. 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.
Company
Finance • Tech, Software & IT Services
LSEG Risk Intelligence delivers a comprehensive suite of risk, compliance, and fraud‑management solutions to financial institutions worldwide. Leveraging advanced data, technology, and research, the business helps clients meet regulatory requirements—including AML, KYC, sanctions screening, and third‑party risk—while streamlining vendor management and audit processes. Serving over 40,000 institutions across 190 markets, LSEG Risk Intelligence enables firms to reduce operational costs, accelerate client onboarding, and enhance customer experiences. Backed by a heritage of integrity and a global presence in more than 70 countries, the company positions itself as a trusted partner for sustainable growth and informed decision‑making.
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NYSE