Data Engineer - Up To $200k Cad + Bonus

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 performanceOptimise and maintain existing database systems, improving query performance and efficiencyArchitect, implement, and manage cloud-based databases and data solutions in AzureDevelop and maintain data pipelines to support analytics and machine learning workloadsCollaborate with data scientists to prepare and structure data for ML modellingContribute to Python-based machine learning models and data processing workflowsEnsure best practices in data governance, security, and integrityWork closely with cross-functional teams to understand data requirements and deliver solutionsSkills & Experience:
5 years of experience in data engineering or database development rolesStrong experience working with PythonStrong expertise in SQL and relational database design (e.G. schema design, indexing, optimisation)Experience building and managing databases from the ground upHands‑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 principlesExperience with performance tuning and query optimisationStrong problem‑solving skills and attention to detailNice to Have (Not Required):
Experience with big data tools or distributed data systemsFamiliarity with ML frameworks (e.G. scikit‑learn, TensorFlow, PyTorch)Knowledge of data warehousing concepts and modern data stack toolsExposure to DevOps practices, CI/CD, or infrastructure‑as‑codeExperience working in fast‑paced or startup environmentsTech Upgrade Stipend for your home setupLearning & Development Budget for courses, certifications, and conferencesQuarterly Innovation Days to explore new ideas and technologiesAdventure Days — one paid day per quarter to do something you loveGym access, wellness initiatives, and encouraged mental health daysFlexible working options and a collaborative, growth‑focused environment
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