Our client is seeking a fully remote Senior Data Engineer to lead the development and delivery of modern data solutions on their cloud-native data and analytics platform. As a key member of the engineering team, you will be responsible for designing and implementing high-performance batch and real-time data pipelines aligned with enterprise data
...
governance standards. This role requires deep experience in Spark (using Python or Scala), Azure Data Lake, Databricks, Synapse, and Delta Lakes, as well as a strong understanding of DevSecOps practices to improve pipeline quality. The ideal candidate will bring proven leadership in data engineering, a track record of collaborating with business and technical stakeholders, and familiarity with streaming technologies like Kafka or Spark Streaming. If you're passionate about building scalable, secure, and high-quality data pipelines to drive analytics initiatives—this is the opportunity for you.
*** Full Remote 12 Month Contract ***
*** Candidates must possess Reliability Security Clearance or be eligible for it (having lived in Canada for the past 5+ years) ***
Advantages
•Fully Remote Flexibility – The position allows you to work from anywhere, providing greater work-life balance and eliminating commuting time.
•Cutting-Edge Technology Stack – You'll gain hands-on experience with modern cloud-native tools and platforms like Azure Databricks, Synapse, and Delta Lakes, keeping your skills sharp and in high demand.
Responsibilities
The Senior Data Engineer will be responsible for leading the delivery of data on data and analytics platform. These services are at the forefront of building out data engineering practice cloud-native technologies. The Senior Data Engineer must have experience in leading, designing, implementing, and collaborating with stakeholders to achieve the best results for our clients.
Primary Responsibilities
•Proven design, build and implementation of batch and real-time data pipelines. Driven by automated repeatable delivery of data that aligns to enterprise data governance standards.
•Experience in developing and proposing design patterns that conform to requirements. Responsible to ensure the proposed design, optimally addresses access and query patterns; data consumption and adheres to internal architecture standards.
•Experienced collaboration working with various stakeholders across the business, data scientists and IT. Working closely building relationships, refining data requirements to meet various data and analytics initiatives and data consumption requirements
Specific Project Requirements
•Increase the overall speed in which data is onboarded to the Data and Analytics platform.
•Building robust data pipelines to enable larger data consumption on the Data and Analytics Platform
•Increase the overall quality of data pipeline development through DevSecOps
Qualifications
Top Skills Required:
•Programming experience in Spark using modern languages such as Python, Scala
•Experience working with modern data architectures like Azure Data Lake Storage, Azure Databricks, Azure Synapse (formerly SQL Data Warehouse) and Delta Lakes
•Experience leading Data Engineering principles within an organization/team.
Other Skills Required:
•Experience working with Integration patterns and technologies such as Azure Event Hub, Function App and C#
•Knowledge and expertise of database modeling techniques: Data Vaults, Star, Snowflake, 3NF, etc.
•Experience working with streaming data architecture and technologies for real-time: Spark Streaming, Kafka, Flink, Storm
•Experience working with relational and non-relational database technologies: SQL Server, Oracle, Cassandra, MongoDB, CosmosDB, HBase
•Experience working with source code and configuration management environments such as Azure DevOps, Git, Maven, Nexus
Summary
If you're qualified and interested please submit your resume and one of our experienced Recruiters would be happy to give you a call. Thank you.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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Our client is seeking a fully remote Senior Data Engineer to lead the development and delivery of modern data solutions on their cloud-native data and analytics platform. As a key member of the engineering team, you will be responsible for designing and implementing high-performance batch and real-time data pipelines aligned with enterprise data governance standards. This role requires deep experience in Spark (using Python or Scala), Azure Data Lake, Databricks, Synapse, and Delta Lakes, as well as a strong understanding of DevSecOps practices to improve pipeline quality. The ideal candidate will bring proven leadership in data engineering, a track record of collaborating with business and technical stakeholders, and familiarity with streaming technologies like Kafka or Spark Streaming. If you're passionate about building scalable, secure, and high-quality data pipelines to drive analytics initiatives—this is the opportunity for you.
*** Full Remote 12 Month Contract ***
*** Candidates must possess Reliability Security Clearance or be eligible for it (having lived in Canada for the past 5+ years) ***
Advantages
...
•Fully Remote Flexibility – The position allows you to work from anywhere, providing greater work-life balance and eliminating commuting time.
•Cutting-Edge Technology Stack – You'll gain hands-on experience with modern cloud-native tools and platforms like Azure Databricks, Synapse, and Delta Lakes, keeping your skills sharp and in high demand.
Responsibilities
The Senior Data Engineer will be responsible for leading the delivery of data on data and analytics platform. These services are at the forefront of building out data engineering practice cloud-native technologies. The Senior Data Engineer must have experience in leading, designing, implementing, and collaborating with stakeholders to achieve the best results for our clients.
Primary Responsibilities
•Proven design, build and implementation of batch and real-time data pipelines. Driven by automated repeatable delivery of data that aligns to enterprise data governance standards.
•Experience in developing and proposing design patterns that conform to requirements. Responsible to ensure the proposed design, optimally addresses access and query patterns; data consumption and adheres to internal architecture standards.
•Experienced collaboration working with various stakeholders across the business, data scientists and IT. Working closely building relationships, refining data requirements to meet various data and analytics initiatives and data consumption requirements
Specific Project Requirements
•Increase the overall speed in which data is onboarded to the Data and Analytics platform.
•Building robust data pipelines to enable larger data consumption on the Data and Analytics Platform
•Increase the overall quality of data pipeline development through DevSecOps
Qualifications
Top Skills Required:
•Programming experience in Spark using modern languages such as Python, Scala
•Experience working with modern data architectures like Azure Data Lake Storage, Azure Databricks, Azure Synapse (formerly SQL Data Warehouse) and Delta Lakes
•Experience leading Data Engineering principles within an organization/team.
Other Skills Required:
•Experience working with Integration patterns and technologies such as Azure Event Hub, Function App and C#
•Knowledge and expertise of database modeling techniques: Data Vaults, Star, Snowflake, 3NF, etc.
•Experience working with streaming data architecture and technologies for real-time: Spark Streaming, Kafka, Flink, Storm
•Experience working with relational and non-relational database technologies: SQL Server, Oracle, Cassandra, MongoDB, CosmosDB, HBase
•Experience working with source code and configuration management environments such as Azure DevOps, Git, Maven, Nexus
Summary
If you're qualified and interested please submit your resume and one of our experienced Recruiters would be happy to give you a call. Thank you.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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