KEY SKILLS & EXPERIENCE REQUIRED:

• Strong proficiency in Python programming.
• Demonstrated experience working with Dataiku for data preparation, analysis, and ML deployment.
• Solid experience working with SQL, including writing complex queries and DDL.
• Experience with Linux/Unix environments.
• Practical experience with Docker, Kubernetes, and AWS.
• Hands-on knowledge of data pipeline orchestration tools such as Apache Airflow or Argo Workflows.
• Familiarity with big data querying tools such as Redshift, Hive, Spark, or Presto.
• Experience with API-based system integrations.
• Version control using Bitbucket (or similar).
• Exposure to security best practices in data engineering environments.

ABOUT THE ROLE:

FinXL IT Professional Services is seeking a talented Python Data Engineer to join a dynamic, high-performing team within a leading financial services organisation. You will be part of a cutting-edge data transformation program focused on building a next-generation, cloud-based data platform that enables business agility and enhances customer outcomes.
This is an excellent opportunity to work on complex data engineering challenges while collaborating with business and technology stakeholders in a fast-paced, supportive, and diverse environment.

KEY RESPONSIBILITIES:

Design and develop scalable data pipelines and platform features using Python.

• Collaborate with business and operational teams to understand data requirements and deliver impactful solutions.
• Drive innovation in data architecture and platform capabilities.

• Build, test, and deploy production-grade code in a clustered, containerised environment.

• • Ensure solutions meet security, performance, and compliance standards.