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, effective, 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

📌 Data Engineer - Up to $200k CAD + Bonus (Winnipeg)
🏢 Hunter Bond
📍 Winnipeg