Junior Python​/Data Engineer to vendor technology tool client in investment manageme

Overview

Contract:

3 Months + Extension.

Hours:

37.5/HR. Work Model: 4 days in office. We support Murex, a leading investment book of record (IBOR) platform that holds most of our critical financial data.

Our data warehouse is hosted on AWS S3, and we are building contemporary data pipelines to enable advanced data products and analytics across the organization.

Youll join a cooperative team focused on data ingestion, integration and engineering, working alongside experts in Java and vendor technologies.

This role is ideal for someone who is skilled in Python, passionate about data engineering, and eager to learn new technologies.

• Design and develop data pipelines to extract, transform, and load (ETL) data from Murex into AWS-based data platforms.
• Build scalable and maintainable Python-based solutions for data ingestion and processing.
• Collaborate with stakeholders to enable data products and analytics use cases.
• Optimize data workflows for performance and reliability.
• Troubleshoot and resolve data-related issues across systems.
• Continuously learn and adapt to new tools, technologies, and best practices.

• 3 years of experience in Python development with a focus on data engineering.
• Robust understanding of ETL processes, data pipelines, and data modeling.
• Experience with AWS services (S3, Lambda, Glue, or similar).
• Familiarity with SQL and relational databases.
• Ability to work in a collaborative environment and learn new technologies quickly.

• Exposure to Murex or other financial systems.
• Experience with data orchestration tools (Airflow, Prefect).
• Knowledge of big data frameworks (Spark, Hadoop).
• Containerization.