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Added 12 days ago
7
Senior Data Analyst, GTM Operations
7shifts
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
Strong SQL in a modern warehouse (Snowflake or equivalent) and comfort with a BI tool (ThoughtSpot or equivalent); able to work across multiple systems and learn new ones quickly
Added 12 days ago
Senior Demand Planner
HelloFresh
Toronto, ON
Proficiency in demand planning software and tools (Google Sheets, Excel, SQL, Python, Tableau) complemented with exceptional analytical and problem solving skills
Added 12 days ago
T
Senior Data Engineer
TEEMA
Vancouver, BC
- $70 to $95 CAD / hour
- Contract
Build scalable data solutions using Databricks, Delta Lake, Delta Live Tables (DLT), Python, Spark, and SQL.
Added 12 days ago
I
Database Automation Test Engineer
INFOYA
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
Perform advanced SQL-based validation, including
Added 12 days ago
RB
Trade Support Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Other technical skills such as Python, VBA, SQL, or other automation tools.
Added 12 days ago
RB
Senior Manager, Forecast Delivery, Personal and Commercial Operations
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in SQL and/or general-purpose programming languages (e.g., Python)
Added 12 days ago
R&
Senior Full Stack Software Developer
Robertson & Company Ltd.
Toronto, ON
- Contract
Robertson is seeking a skilled Senior Full Stack Software Developer to join our client in support of an existing vacancy.
Added 12 days ago
I
Database Architect - InteleShare
Intelerad
Canada
- Full-time
…expertise in both relational databases (Oracle, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra), including hands-on experience with large-scale, high-availability database…
Added 12 days ago
YC
D365 Finance & Operations Sr. Analyst
Yoush Consulting
Toronto, ON
- Full-time
…of Microsoft Dynamics 365, Power Platform, BI reporting and…
Added 12 days ago
OM
Research Analyst
Omnicom Media
Toronto, ON
- Full-time
Experience with Advanced Analytical Tools: Experience with analytical tools such as DisplayR, SPSS, Q, R, Python, or SQL is a plus.
Added 12 days ago
N
Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Design and maintain ELT pipelines from SQL Server, Azure SQL, REST APIs and SaaS platforms, with incremental loads, safe reruns and clear failure handling.
Added 12 days ago
C
Reporting Analyst
CATALIS
AB · Edmonton, AB
- Full-time
The ideal candidate has 2-4 years of experience working with reporting and analytics solutions, strong SQL skills, experience with Salesforce, and proficiency with business intelligence…
Added 12 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Strong SQL skills and experience working with large, complex data sets.
Added 12 days ago
T
Full Stack .NET Developer
Techso
Montreal, QC
- Full-time
Techso is looking for a Senior Full Stack .NET Developer to help design and develop digital solutions used by our clients across Canada.
Added 12 days ago
I
Database Manager - InteleShare
Intelerad
Canada
- Full-time
Demonstrated expertise with both relational databases (Oracle, PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Cassandra) in large-scale, high-availability environments.
Added 12 days ago
C
BI Analyst-EN
CAE
Montreal, QC
- Full-time
Advanced knowledge of SQL and relational database concepts.
Added 12 days ago
IG
Peoplesoft Developer
Insight Global
London, ON
- Contract
Insight Global is seeking a PeopleSoft Developer to support a higher education client within their Application Services team. This role is 5 days onsite in London, Ontario and will support…
Added 12 days ago
E
Databricks Engineer
E-Solutions
Toronto, ON
- Contract
Proficient in developing programs in Python and SQL
Added 12 days ago
C
Sr. Consultant, Full Stack Developer
CIBC
Toronto, ON
- Full-time
…change the way that people bank. As a Consultant, Full Stack Developer, you’ll assist in developing, testing, and supporting the implementation of cross-functional, multi-platform…
Added 12 days ago
Senior Manager, Expense Oversight and Transparency - Finance
Scotiabank
Toronto, ON
Data Analytics experience using SQL and Python is highly desirable
Added 12 days ago
Senior Financial Management Analyst (Hyperion)
City of Regina
Regina, SK
Added 12 days ago
FS
Senior Platform Engineer, Performance Management
Four Seasons Hotels and Resorts
Toronto, ON · Four Seasons Corporate Headquarters Toronto
- Full-time
Added 12 days ago
SD
Middleware Developer
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
We are seeking a Senior Software Developer to provide
Added 12 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
Advanced SQL skills, including query optimization, performance tuning, and data modeling.
Added 12 days ago
Flight Centre - Application Support Analyst - Vancouver, BC
Flight Centre
BC

TEEMA

Senior Data Engineer

Vancouver, BC, Canada

$70 to $95 CAD / hour · Contract

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Job details

Pay: $70 to $95 CAD / hour
Job type: Contract
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

Senior Data Engineer – Azure Databricks

We are seeking an experienced Senior Data Engineer to support a major data modernization and transformation initiative. This is a hands-on role focused on building and optimizing scalable data pipelines, data products, and analytics solutions within the Microsoft Azure ecosystem, with a strong emphasis on Azure Databricks and Delta Lake.

The successful candidate will work closely with data engineering, analytics, and business stakeholders to modernize data assets, integrate new data sources, improve data quality, and develop resilient solutions that support enterprise reporting and analytics.

Key Responsibilities

Design, develop, and optimize robust data ingestion and transformation pipelines using Azure Databricks.
Build scalable data solutions using Databricks, Delta Lake, Delta Live Tables (DLT), Python, Spark, and SQL.
Work with analytics and business stakeholders to understand workflows, data requirements, and reporting needs and translate them into technical solutions.
Support the design and development of master data products and reusable data assets.
Participate throughout the development lifecycle, including technical scoping, requirements analysis, specifications, development, testing, and implementation.
Optimize Databricks environments through code optimization, cluster configuration, partitioning, Z-ordering, scaling, and data-consumption strategies.
Develop and enhance data ingestion, transformation, validation, and consumption processes.
Work with Azure Data Factory and Azure DevOps to support data integration and development activities.
Troubleshoot complex implementation and data pipeline issues and provide technical guidance and recommendations.
Partner with technical teams to establish data engineering best practices and improve platform performance, reliability, and scalability.
Communicate project progress, technical risks, dependencies, and recommendations to stakeholders and project leadership.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related discipline.
Strong professional experience as a Data Engineer within Microsoft Azure environments.
Expert-level, recent hands-on experience with Azure Databricks.
Strong experience with Azure Data Factory and Azure DevOps.
Advanced proficiency with Python, Spark/PySpark and SQL.
Hands-on experience with Delta Lake and Delta Live Tables (DLT).
Strong understanding of data warehousing, data modeling, ETL/ELT and relational databases.
Experience optimizing Databricks workloads, including clusters, partitioning, Z-ordering and performance.

Preferred Experience

Experience working with healthcare or other complex enterprise data environments is highly desirable. Exposure to clinical or healthcare information systems and their associated data models would be considered a strong asset.

Work Arrangement

This is a hybrid Vancouver-based opportunity. Candidates must be comfortable working onsite at least one day per week, with additional onsite attendance as required for project needs and team collaboration.

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More about this job

Responsibilities

Design, build, and optimize scalable data ingestion and transformation pipelines and reusable data products using Azure Databricks, Delta Lake, Python, Spark, and SQL. Collaborate with stakeholders and technical teams across the development lifecycle to improve data quality, platform performance, reliability, and scalability, while troubleshooting issues and communicating project risks and progress.

Requirements

Requires a bachelor's degree in a relevant discipline and strong professional data engineering experience in Microsoft Azure, including recent expert-level hands-on Azure Databricks experience. Candidates must have strong Azure Data Factory and Azure DevOps experience, advanced Python, Spark/PySpark, and SQL skills, and hands-on Delta Lake and Delta Live Tables experience, along with knowledge of data warehousing, modeling, ETL/ELT, relational databases, and Databricks performance optimization.

Skills

Azure Databricks
Delta Lake
Delta Live Tables
Python
Apache Spark
PySpark
SQL
Azure Data Factory
Azure DevOps
Data Engineering
Data Pipeline Optimization
Data Modeling
ETL/ELT
Data Warehousing
Data Quality
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Azure
Azure Databricks
Delta Lake
Delta Live Tables
Python
Apache Spark
PySpark
SQL
Azure Data Factory
Azure DevOps
Data Engineering
Data Ingestion
Data Transformation
Data Pipelines
Data Products
Data Quality
Data Warehousing
Data Modeling
ETL/ELT
Relational Databases
Cluster Configuration
Partitioning
Z-Ordering
Performance Optimization
Master Data
Enterprise Analytics
Healthcare Data
Clinical Information Systems

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