Data Engineer I
About The Position
Finning Canada is looking for a Data Engineer I to join our growing Data & Digital Solutions team. This is an exciting opportunity to kick-start or grow your data engineering career while working on enterprise-scale data platforms that directly impact business performance, operational efficiency, and customer safety. From day one, you’ll contribute to high-impact initiatives that power decision-making across supply chain, sales, marketing, pricing, maintenance, inventory, and customer experience. If you’re passionate about data, curious, and eager to learn from experienced professionals—this role is for you.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- 2+ years of experience in: Programming (any modern language)
- SQL and relational databases
- Data processing or pipeline development
- Experience with: Data pipelines, ETL/ELT processes, or integration workflows
- Data warehouses or analytical data platforms
- Version control tools (e.g., Git)
- Understanding of: Data modelling (relational & dimensional)
- Core data engineering concepts and best practices
- Exposure to: REST APIs
- Cloud platforms (Azure, AWS, or GCP)
Nice To Haves
- Experience with Azure data services or cloud-native data engineering
- Familiarity with CI/CD pipelines, containers (Kubernetes), or infrastructure automation
- Knowledge of observability tools, logging systems, and monitoring frameworks
- Exposure to MLOps, machine learning, or advanced analytics
- Experience with IoT, telemetry, or high-volume operational datasets
- Understanding of data governance, quality, and lineage concepts
Responsibilities
- Develop, maintain, and monitor scalable data pipelines and integration workflows
- Support data ingestion, transformation, and storage across cloud and on-prem systems
- Ensure the reliability, quality, and performance of data platforms
- Proactively monitor pipelines, jobs, and databases for performance and issues
- Investigate alerts, logs, and anomalies to identify root causes
- Collaborate with senior team members to resolve incidents and improve stability
- Work closely with Senior Data Engineers, Architects, and cross-functional teams
- Participate in pair programming, troubleshooting sessions, and design discussions
- Gain hands-on experience across modern data platforms and cloud technologies
- Analyze and process diverse datasets, including: Equipment telemetry & machine health data, Sales, service, and customer data, External data (weather, economic indicators)
- Document issues, root causes, and solutions
- Suggest improvements to enhance platform performance and reliability
- Build knowledge of Finning’s data landscape and business domains
Benefits
- Great people and place to work with a hybrid work opportunity
- Career advancement and training opportunities
- Pension and employee stock purchase plans with company contributions
- Extensive health benefits including group medical and dental benefits, and short-term and long-term disability benefits
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
