Data Engineer I

Company:

Finning International Inc.

Number of Openings:

1

Worker Type:

Permanent

Position Overview:

Build the future of data at Finning

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.

What we can offer you:
· 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
· For this position, the expected base salary range is between $70,000 and $85,000 annually. This range reflects our commitment to providing competitive compensation that aligns with industry standards and your qualifications.
Please note that the actual salary offer will be based on a candidate's experience, qualifications, and fit for the role. We are dedicated to fostering an inclusive and equitable work environment, and this salary range is designed to support that commitment.

Job Description:

🕒 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.