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Job Description Data Engineer ? Senior Client: Government of Alberta ? Technology and Innovation Project: Digital Regulatory Assurance System (DRAS) Location: Edmonton, Alberta ? 9942 108 ST, Edmonton, AB T5K 2J5 Contract & Work Schedule Hours: 36.25 hours/week Daily: 7.25 hours/day Schedule: Monday?Friday, 8:15 AM?4:30 PM Alberta Time Work Mode: Primarily remote Location Requirement: Must work from within Canada Onsite: Edmonton meetings approximately 3?4 times per fiscal month or more , as required Extension: Up to 6 months Role Overview The Senior Data Engineer will primarily support the DRAS program , designing and operating reliable data pipelines and data products. The role focuses on data ingestion, integration, transformation, governance, quality, and delivery of trusted analytics-ready datasets for regulatory, compliance, reporting, and future AI use cases. Key Responsibilities Design scalable, secure Microsoft Azure data architectures Build data ingestion and transformation pipelines using Azure Data Factory, Azure Databricks and Azure Synapse Manage Azure Data Lake Storage Gen2 Integrate data from ServiceNow, geospatial systems and other source systems Develop data models and semantic layers Build and optimize ETL/ELT workflows using Python, PySpark and SQL Develop secure APIs and data services using Azure API Management Implement data governance, metadata, classification and lineage Apply security controls including RBAC, encryption and data masking Monitor and troubleshoot data pipelines and integrations Use AI and automation for pipeline development, testing, monitoring and documentation Curate standardized, high-quality datasets for advanced analytics and AI. Requirements Must-Have Requirements Skill / Qualification Required Experience Analytics-ready data solutions, 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 Data Engineering 5+ years Azure Databricks & Delta Lake 3+ years AI for code generation, data analysis & automation 1+ year Nice-to-Have Data requirements analysis / transformation / cleansing / wrangling ? 6 years Microsoft SQL Server ? 6 years Microsoft Fabric ? 2 years Government of Alberta Cloud environment ? 1 year RESTful API design/integration ? 3 years ActiveMQ / Azure Service Bus / Message Queueing ? 3 years Cross-functional software and data product development ? 5 years Requirements Must-Have Requirements Skill / Qualification Required Experience Analytics-ready data solutions, semantic layers, dat Location Edmonton , AB Work location On site Salary $ 8,095 MONTH monthly Terms of employment Full time Starts as soon as possible vacancies 1 vacancy Source Talent.com #632387783412289285 Various locations Edmonton, AB
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.