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Added 1 day ago
RQ00827 - Specialized IT Consultant - Senior
Flexstaf IT
Toronto, ON
Added 1 day ago
RQ11576 - DataOps/Cloud Data Engineer - Senior
Flexstaf IT
Toronto, ON
Added 1 day ago
RQ00762 - Systems Analyst - Senior
Flexstaf IT
Toronto, ON
Added 1 day ago
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Flexstaf IT

RQ11576 - DataOps/Cloud Data Engineer - Senior

Toronto, ON, Canada

Within 25 km of Vaughan · About 16.5 km from the city centre

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Job details

Posted: Oct 20, 2026

Original job description

HM is looking for a Data Engineer - with the tech stack below:

Must Have:

Experience with Databricks, Delta Lake and Databricks SQL.
Knowledge of Medallion Architecture.
Experience with Azure Data Services/Azure Data Factory
Experience with Informatica or equivalent integration platforms.
Experience operationalizing common data models and metadata repositories.

Experience and Skill Set Requirements

General Skills (80%)

Demonstrated experience designing, implementing and supporting cloud-based data platforms and services.
Experience developing scalable ETL/ELT processes, data pipelines and integration solutions.
Experience implementing DataOps practices including deployment automation, testing, monitoring and operational support.
Experience with cloud-native data engineering and modern data platform architectures.
Experience implementing metadata, lineage and data quality capabilities within cloud data environments.
Experience developing integration solutions using APIs, event-driven architectures and batch or streaming technologies.
Knowledge of data governance, security and operational best practices for cloud platforms.
Experience automating metadata collection, data movement and operational processes.
Experience supporting cloud modernization and data migration initiatives.
Experience collaborating with architects, modellers and governance teams to operationalize data standards, metadata and common data models.
Knowledge of performance optimization and scalability considerations for cloud data platforms.
Ability to troubleshoot complex technical problems and develop practical solutions.
Strong analytical, organizational and communication skills.

Resource will support the following deliverables:

Data pipelines and integration services
Automated metadata collection and synchronization processes
Cloud data platform implementation and configuration
Data quality and lineage enablement
CI/CD and DataOps automation
Data migration and interoperability services
Cloud-hosted data products and reusable data services
Metadata and governance platform integrations

Desirable Skills (20%)

Experience with Databricks, Delta Lake and Databricks SQL.
Knowledge of Medallion Architecture.
Experience with Microsoft Fabric and Azure Data Services.
Experience with Microsoft Purview.
Experience with Informatica or equivalent integration platforms.
Experience operationalizing common data models and metadata repositories.
Experience with graph technologies and semantic repositories.
Knowledge and understanding of AODA and related standards.
Ability to meet tight deadlines and adapt to changing project priorities.

Nice to have:

Prior OPS/Public sector exp.
Experience with Microsoft Purview and Microsoft Fabric

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More about this job

Responsibilities

The Data Engineer at Flexstaf IT will build data pipelines, cloud data platforms and automated deployment processes. They will also make data traceable and high quality, and help move data to new systems.

Requirements

Candidates need hands-on experience with Databricks, Delta Lake, Azure Data Factory and Informatica, plus building scalable ETL pipelines and DataOps practices. Knowledge of Medallion Architecture and common data models is also required.

Skills

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Factory
Azure Data Services
Informatica
DataOps
CI/CD
ETL/ELT
data pipelines
APIs
event-driven architecture
batch and streaming
metadata management
data lineage
data quality
data governance
data migration
cloud data platform architecture
performance optimization
automation
Microsoft Fabric
Microsoft Purview
graph technologies

Keywords

Databricks
Delta Lake
Databricks SQL
Medallion Architecture
Azure Data Factory
Azure Data Services
Informatica
DataOps
CI/CD
ETL
ELT
data pipelines
data engineering
cloud data platform
metadata management
data lineage
data quality
data governance
data migration
Microsoft Fabric

Seniority

Senior

Tools

Databricks
Delta Lake
Azure Data Factory
Informatica
Microsoft Fabric
Microsoft Purview

Languages

English

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