Job Description
Position: Senior DataOps/Cloud Data Engineer
Duration: 6 Months assignment (contract)
Client Location: Toronto (Hybrid: 7.25 hours/day between 8:00 AM and 5:00 PM, Monday to Friday)
Engagement Model: Professional Services Engagement – B2B (Incorporated Entities Only)
Note on Assignment Type
This position is provisionally Hybrid, requiring 7.25 hours per calendar day between 8:00 AM and 5:00 PM, Monday to Friday (excluding breaks). Conditions may change based on organizational requirements and at the discretion of the Hiring Manager.
About the Engagement
Akkodis is seeking a highly technical Senior DataOps/Cloud Data Engineer to support the Manager, Data Engineering & AI Enablement in designing, building, and operating reliable, production‑grade data pipelines and analytics foundations. This role is hands‑on, engineering‑focused, and requires strong technical depth in Microsoft Fabric, Python, SQL, and modern cloud data engineering practices.
Scope
• Oversee d...
Duration: 6 Months assignment (contract)
Client Location: Toronto (Hybrid: 7.25 hours/day between 8:00 AM and 5:00 PM, Monday to Friday)
Engagement Model: Professional Services Engagement – B2B (Incorporated Entities Only)
Note on Assignment Type
This position is provisionally Hybrid, requiring 7.25 hours per calendar day between 8:00 AM and 5:00 PM, Monday to Friday (excluding breaks). Conditions may change based on organizational requirements and at the discretion of the Hiring Manager.
About the Engagement
Akkodis is seeking a highly technical Senior DataOps/Cloud Data Engineer to support the Manager, Data Engineering & AI Enablement in designing, building, and operating reliable, production‑grade data pipelines and analytics foundations. This role is hands‑on, engineering‑focused, and requires strong technical depth in Microsoft Fabric, Python, SQL, and modern cloud data engineering practices.
Scope
• Oversee d...
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