Tech Lead Data Engineer
4 weeks ago
Senior Data Engineer / Tech Lead (Machine Learning & Databricks)
Location: Montreal or Toronto | Remote | Part-Time or Full-Time | Contract
We are building the future of data and machine learning in the mining sector and looking for a Senior Data Engineer / Tech Lead to drive our ML initiatives and data transformation . This role is ideal for someone with 5+ years of experience , strong expertise in Databricks and Apache Spark , and a passion for mentoring teams and applying ML models to real-world challenges .
Your Impact:
- Lead ML & Data Initiatives – Drive the implementation of machine learning models in Databricks , focusing on mining optimization and industrial instrumentation systems .
- Coach & Mentor – Guide a team of data engineers, fostering best practices in data science, ML deployment, and scalable data architecture .
- Build Scalable Data Pipelines – Design and optimize ETL workflows using Azure Data Factory, SQL, and Python , ensuring high-performance data processing.
- Develop Advanced Visualizations – Create enterprise-grade Plotly Dash applications to visualize complex data and generate actionable insights.
- Collaborate & Innovate – Work closely with business and technical stakeholders to align ML solutions with operational goals.
Why Join Us?
- Leadership & Growth – Take on a technical leadership role , mentoring a team and shaping our ML and data strategy .
- Cutting-Edge Projects – Apply machine learning to real-world challenges in mining optimization and instrumentation systems .
- Flexible Engagement – Open to part-time or full-time work, with the possibility of transitioning to a permanent role.
- Remote Work Option – Based in Montreal or Toronto , with flexibility for remote collaboration.
What We’re Looking For:
- 5+ years of experience in data engineering, machine learning, or related fields.
- Expertise in Databricks, Apache Spark, and Azure Data Factory .
- Strong programming skills in Python and SQL , with experience in ML model development and deployment .
- Hands-on experience building Plotly Dash applications for enterprise use.
- Familiarity with mining industry data, optimization projects, or industrial instrumentation systems is a strong plus.
- Proven ability to mentor and coach technical teams.
- Ability to showcase a portfolio of past projects in ML, data engineering, or visualization.
- Fluent in English (French is a plus).
If you're passionate about machine learning, coaching teams, and working on real-world industrial challenges , apply now and share your portfolio.
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