We’re building the next generation of capital markets technology and are on a mission to make sense of fast-moving, interconnected, and highly complex data
Job Summary
We’re building the next generation of capital markets technology and are on a mission to make sense of fast-moving, interconnected, and highly complex data.
As a Senior Data Engineer - Customer Success, you will support global financial firms by diagnosing, resolving, and escalating technical issues across our data pipelines.
Join us and be part of a dynamic organisation of 25,000 people across 65 countries, valuing innovation, quality, and continuous improvement.
Matching Summary
We’re building the next generation of capital markets technology and are on a mission to make sense of fast-moving, interconnected, and highly complex data.
Skills & Requirements
Must-have
Python object-oriented applications
Jenkins, Rundeck, Apache Airflow
batch data processing
ETL pipelines and Data Lake
Git version control
Linux server operations
large-scale automation
Nice-to-have
cloud data platforms
Kubernetes and virtual hardware
problem-solving
client collaboration
continuous improvement
Key Requirements
Strong experience with Python
Hands-on experience with job scheduling tools
Background working in batch data processing
Experience with ETL pipelines and Data Lake architectures