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 robust 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 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. Retail or similar domains are highly valued.

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