Data Engineer – Senior
Client: Government of Alberta – Technology and Innovation
Project: Digital Regulatory Assurance System (DRAS)
Location: Edmonton, Alberta
Work Location: 9942 – 108 ST, Edmonton, AB T5K 2J5

Contract & Schedule Hours: 36.25 hours/week

Daily Hours: 7.25 hours/day

Working Hours: 8:15 AM – 4:30 PM Alberta Time, Monday–Friday

Work Mode: Primarily Remote

Onsite: Edmonton meetings approximately 3–4 times per fiscal month or more, as required

Work Location Restriction: Resource must work from within Canada.

Extension: Up to 6 months

Role Overview The Data Engineer will support the DRAS modernization initiative , designing, building, and operating reliable data pipelines and data products. The role focuses on integrating data into the Data Management Platform, applying transformations, ensuring data quality and governance, and producing trusted analytics-ready datasets.

Key Responsibilities Design scalable and secure Azure data architectures

Develop data pipelines using Azure Data Factory, Azure Databricks and Azure Synapse

Manage Azure Data Lake Storage Gen2

Integrate data from systems such as ServiceNow and geospatial platforms

Build data models, semantic layers, data marts and analytics-ready datasets

Develop ETL/ELT workflows using Python, PySpark and SQL

Work with Azure API Management and REST APIs





Implement data governance, metadata, classification and lineage

Apply security controls including RBAC, encryption and data masking

Monitor and troubleshoot pipelines for reliability and performance

Use AI/automation tools for code generation, testing, monitoring and documentation

Develop standardized datasets supporting analytics and future AI use cases.

Requirements Must-Have Qualifications
Requirement
Experience
Computer Science or related post-secondary education
Required
Data solutions for trusted, analytics-ready datasets, semantic layers/data marts/data products
3+ years
Git/GitHub version control
4+ years
Azure Storage, SQL, Synapse, networking & secure authentication
3+ years
Python/PySpark & SQL for Data Engineering
5+ years
Azure Databricks & Delta Lake
3+ years
AI for code generation, data analysis and automation
1+ year
Nice-to-Have
Data/business requirements analysis – 6 years

Microsoft SQL Server – 6 years

Microsoft Fabric – 2 years

Government of Alberta Cloud data products – 1 year

RESTful API design/integration – 3 years

Message queuing technologies such as ActiveMQ / Azure Service Bus – 3 years

Cross-functional software/data product development – 5 years

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📌 Data Engineer – Senior (Alberta)
🏢 SereneAid
📍 Alberta