Senior Data Engineer- Machine Learning & Data Platforms | Remote Our client is building the next generation of industrial intelligence, transforming complex automotive and industrial data into real-time, actionable insights powered by machine learning. This is a full-time remote position. You can work from Toronto, Ottawa or Montreal.

We are seeking an experienced Data Engineer who thrives in high-scale, production ML environments and enjoys working with complex, messy datasets to build reliable, scalable data foundations for advanced analytics. You will join a team of 13 engineers and data professionals, working in a highly collaborative, fast-moving environment. The role is remote-friendly, with strong cross-functional interaction across engineering, data science, and business teams.

What You’ll Do - Design, build, and maintain scalable data pipelines and ETL processes for large structured and unstructured datasets - Develop and optimize Spark-based data workflows supporting production ML systems - Collaborate closely with data scientists, ML engineers, and business stakeholders - Translate complex business needs into scalable, production-grade data solutions - Build feature engineering pipelines for time-series and predictive models - Ensure data quality, governance, security, and reliability across systems - Continuously improve data architecture, performance, and scalability What You Bring - Min.



6+ years in data engineering or ML data pipeline development - Strong experience with Apache Spark, PySpark, Databricks, Delta Lake - Advanced skills in Python, SQL, and Airflow - Deep understanding of Medallion architecture and ETL design patterns - Experience building time-series features (rolling windows, lags, trend indicators) - Ability to work closely with ML teams and translate data into model-ready structures - Bachelor’s or Master’s in Computer Science, Engineering, or related field Preferred Experience - Background in retail, e-commerce, or supply chain environments dealing with large, messy, high-volume datasets - Experience working directly with machine learning teams or supporting ML model development - Hands-on experience in forecasting, demand planning, or similar data-heavy business domains - Experience integrating data from ERP/CRM/WMS systems (SAP, Oracle, legacy platforms) - Exposure to feature stores or ML training/serving consistency frameworks - Experience with IBM DataStage or legacy ETL modernization projects - Experience scaling distributed ML or time-series models in production environments Why This Role This is a robust fit for someone who enjoys working in complex, real-world data environments, especially with messy, high-volume retail-style data and close collaboration with ML teams. Retail or similar domains are highly valued.

📌 Senior Data Engineer - Machine Learning & Data Platforms - REMOTE (Toronto)
🏢 TEEMA Solutions Group
📍 Toronto