Build trusted data foundations at FCC using AWS, Python, PySpark and advanced SQL in a hybrid work workplace. Support forecasting, pricing and planning with scalable solutions.

This permanent role supports FCC’s Financial Modelling team and its evolving data engineering capabilities. You will transform complex datasets, develop pipelines and enable reliable analytics for modelers, data scientists and business teams. The work strengthens data collection, governance and delivery across the organization.

Key Responsibilities:
Design and maintain scalable data solutions and repositories
Build automated pipelines delivering high-quality data
Develop ETL solutions, integrations and automation
Improve data quality, governance, monitoring and reporting




Translate business requirements into technical solutions

Requirements:
Bachelor’s degree and minimum three years’ relevant experience
Advanced data management and analytical tools proficiency
Experience with AWS Redshift, Glue, Lambda, S3 and Step Functions
Proficiency in Python, PySpark and advanced SQL
Knowledge of DataOps, DevOps, CI/CD and automation frameworks

Bring AWS data engineering, pipeline development and analytical skills to help FCC deliver accurate, trusted and actionable information.

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