We are partnering with an innovative, fast-growing technology company operating at the forefront of data, cloud, and machine learning. The team builds scalable, data-driven platforms that support advanced analytics and AI-powered applications across industries including fintech, healthcare, and digital services.
Their mission is to turn complex data into actionable intelligence through robust engineering, modern cloud infrastructure, and cutting-edge machine learning techniques. This is a fantastic opportunity for a data-focused engineer who enjoys building systems from the ground up and working across both data engineering and ML workflows in a high-impact environment.
The Role:
We are looking for a Data Engineer / Database Developer (2–5 years’ experience) to join a growing data team. You will be responsible for designing, building, and optimising scalable database systems, primarily within a cloud-based Azure environment, while also contributing to machine learning modelling and data pipeline development in Python.
This role is ideal for someone who enjoys owning the full data lifecycle — from database architecture and performance tuning to enabling advanced analytics and ML use cases. You’ll collaborate closely with engineers, data scientists, and stakeholders to deliver high-quality, efficient, and scalable data solutions.
Key Responsibilities:
- Design and build SQL databases from scratch, ensuring scalability, reliability, and performance
- Optimise and maintain existing database systems, improving query performance and efficiency
- Architect, implement, and manage cloud-based databases and data solutions in Azure
- Develop and maintain data pipelines to support analytics and machine learning workloads
- Collaborate with data scientists to prepare and structure data for ML modelling
- Contribute to Python-based machine learning models and data processing workflows
- Ensure best practices in data governance, security, and integrity
- Work closely with cross-functional teams to understand data requirements and deliver solutions
Skills & Experience:
- 5 years of experience in data engineering or database development roles
- Strong experience working with Python
- Strong expertise in SQL and relational database design (e.g. schema design, indexing, optimisation)
- Experience building and managing databases from the ground up
- Hands‑on experience with Microsoft Azure data services (e.g. Azure SQL, Data Factory, Synapse or similar)
- Solid understanding of data modelling, ETL processes, and data architecture principles
- Experience with performance tuning and query optimisation
- Strong problem‑solving skills and attention to detail
Nice to Have (Not Required):
- Experience with big data tools or distributed data systems
- Familiarity with ML frameworks (e.g. scikit‑learn, TensorFlow, PyTorch)
- Knowledge of data warehousing concepts and modern data stack tools
- Exposure to DevOps practices, CI/CD, or infrastructure‑as‑code
- Experience working in fast‑paced or startup environments
- Tech Upgrade Stipend for your home setup
- Learning & Development Budget for courses, certifications, and conferences
- Quarterly Innovation Days to explore new ideas and technologies
- Adventure Days — one paid day per quarter to do something you love
- Gym access, wellness initiatives, and encouraged mental health days
- Flexible working options and a collaborative, growth‑focused environment
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Data Engineer - Up to $200k CAD + Bonus in Montréal employer: Hunter Bond
Join an elite FinTech firm in Montreal that not only offers a competitive salary range of $130,000 to $250,000 CAD but also fosters a dynamic work culture focused on innovation and growth. With a commitment to employee development and cutting-edge technology, this organization provides ample opportunities for professional advancement while working alongside industry leaders in a collaborative environment.
