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. 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. 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 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 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 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 This is a strong 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.

📌 Senior Data Engineer - Machine Learning & Data Platforms - REMOTE (Toronto)
🏢 TALENT TO HIRE
📍 Toronto