Sr Data Engineer
Job in
Old Toronto, Toronto, Ontario, M5A, Canada
Listing for:
iLink Digital
Full Time
position
Listed on 2026-06-23
Job specializations:
-
IT/Tech
Data Engineering, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Position: Sr Data Engineer -
Location: Old TorontoJob Description
Job Summary
We are seeking a highly skilled Databricks Engineer withAI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.
Key Responsibilities
Design and implement scalable ETL pipelines using Databricks & SparkBuild Lakehouse architecture using Delta LakeDevelop and deploy ML models using MLflowImplement MLOps pipelines for training, testing, and serving modelsOptimize cluster performance and reduce compute costBuild RAG and LLM-based solutions using Mosaic AIIntegrate analytics with BI tools (Power BI, Tableau)Implement data governance using Unity CatalogCollaborate with Data Scientists and Business teamsEnsure data quality, security, and complianceRequired Skills
Mandatory
5+ years of Databricks & Apache SparkStrong Python & Py Spark Experience with Delta Lake & LakehouseMLflow & MLOps experienceCloud platform (AWS/Azure/GCP)Git & CI/CDPreferred
Experience with LLMs & Generative AIRAG pipelines & Vector DatabasesDeep Learning frameworksDatabricks certificationsPower BI integrationRequirements
Job Summary
We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.
Key Responsibilities
Design and implement scalable ETL pipelines using Databricks & SparkBuild Lakehouse architecture using Delta LakeDevelop and deploy ML models using MLflowImplement MLOps pipelines for training, testing, and serving modelsOptimize cluster performance and reduce compute costBuild RAG and LLM-based solutions using Mosaic AIIntegrate analytics with BI tools (Power BI, Tableau)Implement data governance using Unity CatalogCollaborate with Data Scientists and Business teamsEnsure data quality, security, and complianceRequired Skills
Mandatory
5+ years of Databricks & Apache SparkStrong Python & Py Spark Experience with Delta Lake & LakehouseMLflow & MLOps experienceCloud platform (AWS/Azure/GCP)Git & CI/CDPreferred
Experience with LLMs & Generative AIRAG pipelines & Vector DatabasesDeep Learning frameworksDatabricks certificationsPower BI integration
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