Data Engineer I

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, and external data such as weather and 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, and data processing or pipeline development. Experience with data pipelines, ETL/ELT processes, data warehouses or analytical data platforms, and version control tools such as Git.

Understanding of data modelling (relational & dimensional) and core data engineering concepts and best practices. Exposure to REST APIs and 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 encourage all individuals to express themselves and achieve their full potential. 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. Finning is committed to collaborating with and providing reasonable accommodations or adjustments to individuals with disabilities.

If you require an adjustment or accommodation at any point during the recruitment process, please inform your recruiter. #J-18808-Ljbffr