Business Analyst Databricks & Data Lake Location: Toronto, ON (Hybrid 3 days onsite per week ... Work closely with data engineers, architects, and platform teams to define source-to-target ...
Quick apply
Business Analyst Databricks & Data Lake Location: Toronto, ON (Hybrid 3 days onsite per week ... Work closely with data engineers, architects, and platform teams to define source-to-target ...
Data Engineer
Mississauga, ON · On-site
The Data Engineering Lead will drive the design and implementation of high-throughput data ... Manage and optimize Databricks workspaces, including Unity Catalog, Delta Live Tables, job clusters ...
Data Engineer
Mississauga, ON · On-site
The Data Engineering Lead will drive the design and implementation of high-throughput data ... Manage and optimize Databricks workspaces, including Unity Catalog, Delta Live Tables, job clusters ...
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and ... Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data ...
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and ... Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data ...
Cloud Data Engineer
CA$125K - CA$130K/yr
Role: Cloud Data Engineer The Cloud Data Engineer is responsible for designing, building, and ... Optimize Databricks jobs for performance and scalability to handle big data workloads. * Monitor ...
Cloud Data Engineer
CA$125K - CA$130K/yr
Role: Cloud Data Engineer The Cloud Data Engineer is responsible for designing, building, and ... Optimize Databricks jobs for performance and scalability to handle big data workloads. * Monitor ...
Intermediate Data Engineer ( SQL, Databricks/ Snowflakes, DBT, Airflow)
Toronto, ON · Remote
CA$90K - CA$110K/yr
What You'll Bring: * 5-7 years of data engineering experience. * Must have Solid SQL and either Snowflake or Databricks, * DBT and/or Airflow * Experience with CI/CD, data lineage, and monitoring ...
Quick apply
Intermediate Data Engineer ( SQL, Databricks/ Snowflakes, DBT, Airflow)
Toronto, ON · Remote
CA$90K - CA$110K/yr
What You'll Bring: * 5-7 years of data engineering experience. * Must have Solid SQL and either Snowflake or Databricks, * DBT and/or Airflow * Experience with CI/CD, data lineage, and monitoring ...
Senior Data Engineer
Toronto, ON · On-site
Administer Azure Databricks clusters, compute resources, workspace optimization, and Delta Lake ... Data Engineering: Python, Apache Airflow, Apache Kafka, Microsoft SQL Server, Elasticsearch stack ...
Senior Data Engineer
Toronto, ON · On-site
Administer Azure Databricks clusters, compute resources, workspace optimization, and Delta Lake ... Data Engineering: Python, Apache Airflow, Apache Kafka, Microsoft SQL Server, Elasticsearch stack ...
Data Engineer
Toronto, ON · On-site
Integrate enterprise data catalog with Databricks and other data platforms * Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering ...
Data Engineer
Toronto, ON · On-site
Integrate enterprise data catalog with Databricks and other data platforms * Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering ...
... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...
... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...
Data Engineer
Toronto, ON · On-site
Integrate enterprise data catalog with Databricks and other data platforms * Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering ...
Data Engineer
Toronto, ON · On-site
Integrate enterprise data catalog with Databricks and other data platforms * Design and develop data quality, data profiling and data classification solutions * You will advocate for good engineering ...
Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...
Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...
Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...
Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...
Data Engineer
Toronto, ON · On-site
Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured ...
Data Engineer
Toronto, ON · On-site
Databricks, Unity Catalog, Auto Loader * Experience with data engineering, programming, ETL and ELT processes for data extraction and processing * Experience working with structured, semi-structured ...
Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...
Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...
Senior Data Engineer
Toronto, ON · Hybrid
CA$120K - CA$145K/yr
Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...
Senior Data Engineer
Toronto, ON · Hybrid
CA$120K - CA$145K/yr
Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...
Data Engineer
Toronto, ON · On-site
Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Design, deploy and maintain a centralized Azure ADLS Gen2/Databricks/Synapse (or Snowflake) data ...
Data Engineer
Toronto, ON · On-site
Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Design, deploy and maintain a centralized Azure ADLS Gen2/Databricks/Synapse (or Snowflake) data ...
25-167 Data Engineer
Oshawa, ON · Hybrid
$75 - $95/hr
We are looking for strong hands on Data Engineering skillset focused heavily on Azure Data Factory and Databricks (use of PySpark and SparkSQL). Build and productionize modular and scalable data ELT ...
25-167 Data Engineer
Oshawa, ON · Hybrid
$75 - $95/hr
We are looking for strong hands on Data Engineering skillset focused heavily on Azure Data Factory and Databricks (use of PySpark and SparkSQL). Build and productionize modular and scalable data ELT ...
Senior Data Engineer
Toronto, ON · On-site
The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL ... Mentor and coach Data Engineers while fostering technical excellence and continuous learning.
Senior Data Engineer
Toronto, ON · On-site
The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL ... Mentor and coach Data Engineers while fostering technical excellence and continuous learning.
26-064 - Staff Data Engineer / Data Architect (Azure / Databricks)
Oshawa, ON · On-site +1
$90 - $100/hr
Staff Data Engineer / Data Architect (Azure / Databricks) 26-064 Resume Due Date: Wednesday June 17th, 2026 (5:00PM EST) Number of Vacancies: 2 Level: $90- $100/hr INC Duration: 12 Months Hours of ...
26-064 - Staff Data Engineer / Data Architect (Azure / Databricks)
Oshawa, ON · On-site +1
$90 - $100/hr
Staff Data Engineer / Data Architect (Azure / Databricks) 26-064 Resume Due Date: Wednesday June 17th, 2026 (5:00PM EST) Number of Vacancies: 2 Level: $90- $100/hr INC Duration: 12 Months Hours of ...
The Data Engineer is a core member of the Connected Data team, responsible for building and ... Databricks or similar), including data ingestion, transformation, and storage concepts.
The Data Engineer is a core member of the Connected Data team, responsible for building and ... Databricks or similar), including data ingestion, transformation, and storage concepts.
Data Engineer III
CA$96K - CA$136K/yr
We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and ... Experience with data platforms such as Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft ...
Data Engineer III
CA$96K - CA$136K/yr
We are hiring a Senior FinOps Data & Automation Engineer to build the data, automation, and ... Experience with data platforms such as Databricks, Snowflake, BigQuery, Azure Synapse, Microsoft ...
Freelance Databricks Data Engineer information
What is a freelance Databricks data engineer?
Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.
What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?
To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.
How do freelance Databricks data engineers typically collaborate with client teams during projects?
Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.
What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?
| Aspect | Freelance Databricks Data Engineer |
|---|
| Required Skills | Proficiency in Databricks, Spark, Python, SQL, cloud platforms |
|---|---|
| Work Environment | Remote, project-based, client-specific |
| Certifications | Databricks certifications, cloud platform credentials |
| Industry Usage | Data analytics, big data projects, AI/ML integrations |
Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.
What are the most commonly searched types of Databricks Data Engineer jobs in Toronto, ON?
The most popular types of Databricks Data Engineer jobs in Toronto, ON are:
What are popular job titles related to Freelance Databricks Data Engineer jobs in Toronto, ON?
For Freelance Databricks Data Engineer jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Freelance Databricks Data Engineer jobs in Toronto, ON look for?
The top searched job categories for Freelance Databricks Data Engineer jobs in Toronto, ON are:
Full-time
Re-posted 21 days ago
Job description
Business Analyst Databricks & Data Lake
Location: Toronto, ON (Hybrid 3 days onsite per week) Experience: Minimum 8+ years Employment Type: Full-Time / Contract (as applicable)
About the RoleWe are seeking an experienced Business Analyst with strong hands-on exposure to Databricks and modern Data Lake / Lakehouse platforms to join our Toronto-based team. In this role, you will act as the bridge between business stakeholders and data engineering teams gathering requirements, defining data mappings and transformation logic, and driving the delivery of large-scale data platform and migration initiatives. The ideal candidate combines deep business analysis fundamentals with practical knowledge of cloud data ecosystems.
Key Responsibilities- Elicit, document, and manage business and data requirements for data lake, lakehouse, and analytics initiatives, translating them into functional and technical specifications
- Work closely with data engineers, architects, and platform teams to define source-to-target mappings, data transformation rules, and data quality requirements
- Support the design and delivery of solutions on Databricks (Delta Lake, notebooks, workflows, Unity Catalog) and cloud data lake platforms (Azure Data Lake Storage, AWS S3, or GCP)
- Analyze and profile source system data to assess quality, completeness, and fitness for migration or integration
- Define and document data lineage, business glossaries, and metadata to support data governance initiatives
- Develop and execute test plans, including UAT coordination, data validation, and reconciliation between legacy and target platforms
- Create process flows, user stories, use cases, and acceptance criteria within Agile delivery frameworks
- Facilitate workshops and requirement sessions with business users, product owners, and technical teams
- Support prioritization and backlog management with product owners; track requirements through to delivery
- Produce clear documentation and communicate findings, risks, and recommendations to both technical and non-technical stakeholders
- 8+ years of experience as a Business Analyst, with significant time spent on data-focused projects (data platforms, data warehousing, migrations, analytics)
- Hands-on experience with Databricks working with notebooks, Delta Lake tables, and understanding of Lakehouse architecture concepts
- Strong understanding of Data Lake concepts and cloud data platforms (Azure preferred; AWS or GCP also considered) data ingestion, storage layers (raw/curated/consumption), and data pipelines
- Proficiency in SQL for data profiling, analysis, and validation; ability to read/interpret PySpark or Python code an asset
- Experience creating source-to-target mapping documents, data dictionaries, and transformation specifications
- Solid grasp of data governance, data quality, and metadata management practices
- Experience with Agile methodologies and tools (Jira, Confluence, Azure DevOps)
- Strong analytical, problem-solving, and critical-thinking skills with high attention to detail
- Excellent communication, facilitation, and stakeholder management skills across business and technical audiences
- Bachelor's degree in Business, Computer Science, Information Systems, or a related field
- Experience in financial services, banking, or insurance data environments
- Familiarity with data modeling concepts (dimensional modeling, medallion architecture)
- Exposure to BI and analytics tools (Power BI, Tableau) and how they consume lakehouse data
- Knowledge of ETL/ELT tools (Azure Data Factory, Informatica, dbt)
- Understanding of data privacy and regulatory requirements (PIPEDA, GDPR) as they relate to enterprise data
- Certifications such as CBAP, PMI-PBA, Azure Data Fundamentals (DP-900), or Databricks Lakehouse Fundamentals
- Contribute to high-visibility data modernization initiatives on a leading Lakehouse platform
- Hybrid work model based in downtown Toronto
- Collaborative environment working alongside data engineering, governance, and business teams
- Competitive compensation and benefits package