We are looking for a Senior Data Engineer to join a fast-paced, data-driven environment on a contract basis. This role is ideal for an engineer with deep hands-on expertise across the Azure and Databricks ecosystem who can design, build, and optimize enterprise-scale data platforms. You'll play a key role in modernizing ETL/ELT processes, strengthening data governance, and driving cost and performance efficiency across the Databricks Lakehouse. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure and Databricks to support enterprise data and analytics needs Build and manage Delta Live Tables (DLT) pipelines for reliable, automated data transformation workflows Implement and maintain Unity Catalog for centralized data governance, access control, and lineage tracking across the Lakehouse Design and develop semantic layers to support consistent, business-friendly access to curated data for analytics and BI consumption Build and maintain CI/CD pipelines for data engineering workflows, ensuring automated testing, deployment, and version control best practices Own FinOps practices within Databricks — monitoring, forecasting, and optimizing compute/storage costs across clusters and jobs Conduct performance tuning and optimization of Databricks workloads, including cluster configuration, query optimization, and job orchestration Work across core Azure data services (e.g., Azure Data Factory, Azure Data Lake Storage, Azure Synapse) to integrate and orchestrate data pipelines Partner with data architects, analysts, and business stakeholders to translate requirements into robust,



scalable data solutions Ensure data quality, security, and compliance standards are upheld across all pipelines and platforms Troubleshoot and resolve pipeline failures, performance bottlenecks, and data quality issues in a timely manner Required Skills & Experience Proven experience as a Senior Data Engineer, with a strong track record delivering production-grade data pipelines Robust hands-on experience with

Microsoft Azure

(Azure Data Factory, ADLS, Azure Synapse, or similar) Deep expertise in

Databricks , including: Unity Catalog Cluster and job performance optimization FinOps / cost management within Databricks Strong experience building and maintaining

CI/CD pipelines

for data engineering workflows (e.g., Azure DevOps, GitHub Actions) Experience designing and implementing

semantic layers

for analytics/BI consumption Solid background in ETL/ELT pipeline design, development, and optimization Proficiency in Python and/or SQL for data transformation and pipeline development Strong understanding of data governance, security, and lineage best practices Excellent problem-solving skills and ability to work independently in a contract setting Strong communication skills, with the ability to work cross-functionally with technical and business stakeholders Nice to Have Databricks certifications (e.g., Databricks Certified Data Engineer Professional) Experience with Terraform or other infrastructure-as-code tools in an Azure/Databricks context Experience in a regulated or enterprise-scale industry Familiarity with Spark internals and advanced performance tuning

#J-18808-Ljbffr

📌 Senior Data Engineer (Winnipeg)
🏢 Xinova Group
📍 Winnipeg