Are you passionate about building modern data platforms that power analytics, artificial intelligence, and machine learning initiatives?

We are partnering with an innovative organization undergoing a major data transformation and seeking a Senior Data Engineer to join their growing team on a 6-month contract. This is an exciting opportunity to help shape the future of a modern enterprise data ecosystem as the organization transitions from AWS-native services to a Databricks-powered platform.

What You Will Be Doing:

Design, build, and maintain scalable cloud-based data platforms and pipelines

Develop and optimize ETL/ELT processes using modern data engineering practices

Build and support Databricks-based solutions leveraging Spark, SparkSQL, and Delta Lake

Enable machine learning and MLOps workflows through robust data pipelines and feature engineering processes

Collaborate closely with Data Science, Analytics, Architecture, and Platform teams to deliver production-ready solutions

Implement data quality, monitoring, observability, and governance best practices

Contribute to CI/CD automation and deployment processes for data and analytics workloads

Troubleshoot and resolve complex data and platform-related issues

Mentor junior team members and promote engineering excellence across the organization





Help define data architecture standards, patterns, and best practices as the platform evolves

Your Experience:

5+ years of experience in Data Engineering, Data Platform Engineering, or a related discipline

Advanced proficiency with Python and SQL

Strong experience building and supporting cloud-based data platforms within AWS environments

Hands-on experience with Databricks, Apache Spark, Delta Lake, and modern data processing frameworks

Experience supporting analytics, AI, machine learning, or MLOps initiatives

Robust understanding of data modeling, data architecture, and performance optimization

Experience implementing data quality, monitoring, and observability solutions

Knowledge of CI/CD pipelines, Git, and modern software development practices

Experience working with structured and semi-structured data formats including JSON, XML, and CSV

Strong communication skills with the ability to collaborate across technical and business teams

Nice to Have

Experience with AWS SageMaker and machine learning lifecycle management

Database Administration (DBA) experience

Salesforce (SFDC) data integration experience

Experience supporting large-scale cloud migration or modernization initiatives

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📌 Senior Data Engineer (Ontario)
🏢 Nexus Systems Group
📍 Ontario