Onsite
🕒 Full-time | Permanent
📍 Calgary or Edmonton, AB (Hybrid – 3 days in-office)
What You’ll Do
🔧 Build & Support Data Solutions
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
📊 Monitor & Troubleshoot Data Systems
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
🤝 Collaborate & Learn
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
🧠 Work with High-Impact Data
Analyze and process diverse datasets, including:
Equipment telemetry & machine health data
Sales, service, and customer data
External data (weather, economic indicators)
📝 Contribute to Continuous Improvement
Document issues, root causes, and solutions
Suggest improvements to enhance platform performance and reliability
Build knowledge of Finning’s data landscape and business domains
What You Bring:
✅ Must-Have Qualifications:
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 Have or Non-Mandatory (Bonus Skills):
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
Why Join Finning?
🚀 Work on modern, enterprise-scale data platforms
👩💻 Learn from experienced engineers and architects
🌍 Contribute to real-world business impact across industries
🤝 Collaborative, supportive team environment
📈 Strong opportunities for career growth and development
🏢 Flexible hybrid work model (3 days in-office)
Ready to Apply?
If you’re a motivated early-career data engineer looking to build meaningful solutions and grow your career—we’d love to hear from you.
At Finning, we prioritize creating a diverse and inclusive environment. We are proud to be an equal opportunity employer, and we actively encourage all individuals to express themselves and achieve their full potential. As a company, we continuously strive to enhance our outreach to individuals of all backgrounds and identities. We do not discriminate against applicants based on gender identity, race, national and ethnic origin, religion, age, sexual orientation, marital and family status, and/or mental or physical disabilities. Furthermore, Finning is committed to collaborating with and providing reasonable accommodations /adjustments to individuals with disabilities. If you require an adjustment/accommodation at any point during the recruitment process, please inform your recruiter.
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