Location: Remote within Canada
Client: Consulting Client Contract Duration: 6 months contract
MUST HAVE:
3+ years of hands-on Databricks development experience.
4+ years of overall Data Engineering, ETL, or Data Integration experience.
Overview
Our consulting client is seeking a Databricks Data Engineer / Developer to support a strategic Enterprise Data Platform (EDP) transformation initiative. The organization is modernizing its enterprise data landscape and building a next-generation data platform leveraging Databricks and modern cloud-based architecture. This role will play a key part in designing, developing, and implementing scalable data solutions that support enterprise reporting, analytics, AI initiatives, and future data-driven capabilities.
The ideal candidate will possess strong data engineering expertise, hands-on Databricks development experience, and a solid understanding of ETL/ELT processes, data integration, and modern data architecture. This individual will work closely with data architects, project managers, analysts, and business stakeholders to deliver high-quality data solutions within a rapidly evolving environment.
Key Responsibilities
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Design, develop, and maintain data pipelines within the Enterprise Data Platform (EDP).
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Build and optimize ETL/ELT processes to support data ingestion, transformation, and integration requirements.
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Make use of an Agentic approach to development and ensure that output matches development standards.
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Develop scalable and reusable data solutions using Databricks and cloud-based data technologies.
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Support migration and modernization activities from HANA environments to a modern data platform.
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Collaborate with Data Architects to implement scalable data models and platform solutions.
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Develop data transformation logic and workflows to support business and analytics requirements.
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Ensure data quality, integrity, consistency, and performance across platform solutions.
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Troubleshoot and resolve data-related issues, bottlenecks, and performance concerns.
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Participate in code reviews, testing, deployment, and release activities.
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Work closely with business and analytics teams to understand data requirements and deliver fit-for-purpose solutions.
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Contribute to platform best practices, documentation, and continuous improvement initiatives.
MUST HAVE atleast 3+ years of hands-on Databricks development experience.
Required Qualifications
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3+ years of hands-on Databricks development experience.
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4+ years of overall Data Engineering, ETL, or Data Integration experience.
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Strong experience building ETL/ELT data pipelines and transformation processes.
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Proven experience working with large and complex datasets.
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Experience with Agentic frameworks and AI-assisted coding is a value add.
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Experience developing data solutions within cloud-based platforms.
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Solid understanding of data warehousing, data lake, and lakehouse concepts.
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Experience working in Agile delivery environments.
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Strong problem-solving and analytical skills.
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Excellent communication and collaboration abilities.
Preferred Qualifications
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Experience supporting large data platform initiatives.
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Experience in significant data migration efforts.
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Experience with Azure Data Services and Databricks Lakehouse architecture.
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Experience with modern data engineering frameworks and best practices.
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Exposure to AI, GenAI, Machine Learning, or advanced analytics initiatives.
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Experience working in large enterprise or consulting environments.
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Knowledge of data governance, metadata management, and data quality frameworks.
Technical Knowledge
Required
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Databricks
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ETL / ELT Development
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Data Engineering
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Data Integration
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SQL
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Python
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Data Pipeline Development
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Data Transformation
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Data Warehousing Concepts
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Agile Delivery
Preferred
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Azure Data Factory
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Delta Lake
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Spark / PySpark
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Azure Synapse
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Data Lake Architecture
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Cloud Data Platforms
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Data Governance & Data Quality
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CI/CD for Data Solutions
Key Skills & Experience
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Databricks Development
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Data Engineering
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ETL/ELT Design & Development
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Enterprise Data Platforms
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Data Modernization
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Data Migration
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Data Warehousing
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Cloud Data Platforms
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SQL & Python Development
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Data Quality & Validation
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Agile Delivery
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Stakeholder Collaboration
Ideal Candidate Profile
We are seeking a developer who:
✅ Has hands-on Databricks experience and can contribute immediately
✅ Understands enterprise data concepts and platform modernization initiatives
✅ Has strong ETL/ELT and data engineering experience
✅ Can partner effectively with architects, project managers, and business teams
✅ Is comfortable working in a fast-paced, highly visible enterprise transformation program
✅ Can help build a scalable lakehouse architecture supporting reporting, analytics, and future AI capabilities
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