Data Designer / Modeler

Randstad Canada; Quebec; Remote; CAD 100,000 - 140,000; Full time

Job summary

A leading financial services organization is seeking a Senior Data Engineer to supervise the design and implementation of data pipelines and infrastructure. This fully remote position offers an opportunity to work with GCP and lead the development of a modern data platform. Ideal candidates will have over 10 years experience and relevant certifications. Flexible working conditions and a commitment to diversity and inclusion are also key aspects of this role.

Benefits

Remote work flexibility

Long-term contract 12 months

Work with cutting-edge technology

Qualifications

• 10+ years of experience as a Data Engineer or in a similar senior technical role.
• Extensive hands-on experience with GCP, particularly its data products.
• Proven ability to be proactive, autonomous, and adaptable in a transformative environment.

Responsibilities

• Supervise the high-level design of data pipeline infrastructure on GCP.
• Lead design discussions and conduct code reviews with an external partner.
• Define data loading strategies for new sources and own the enhancement of the data testing framework.

Skills

Data management best practices

Cloud architecture

SQL proficiency

Autonomous working

Bilingual English and French

Education

GCP certifications in Data Engineering or Data Architecture

Tools

Google Cloud Platform (GCP)

Snowflake

BigQuery

Job description

Overview

Are you a senior Data Engineer with a passion for designing and building scalable, cloud-native data ecosystems on GCP? We are seeking a highly experienced individual to join the Wealth Management division of a leading Canadian financial services organization. You will be a key technical leader, responsible for supervising the design and implementation of data pipelines and infrastructure. Working closely with data architects and an external development partner, you will drive the creation of a modern data platform, shaping the future of DataOps and Data Fabric capabilities within the organization. This is a unique opportunity to join a team during a foundational phase of its data transformation where the technology stack is still evolving. This is a 12-month renewable contract, offered as a fully remote position with occasional travel to Montreal for key meetings.

Advantages

• Lead role in the high-level design and strategy of a new data platform within a major Wealth Management division.
• Enjoy the flexibility of a fully remote position with a long-term, 12-month renewable contract.
• Work with cutting-edge cloud technologies, primarily within the Google Cloud Platform (GCP) ecosystem, with exposure to tools like Snowflake and BigQuery.
• Collaborate with and guide an external development partner, ensuring high standards of quality and scalability.
• Contribute to the implementation of modern practices like DataOps, Data Fabric, and cloud governance.

Responsibilities

• Supervise the high-level design of data pipeline infrastructure on the Google Cloud Platform (GCP).
• Lead detailed design discussions and conduct code reviews with an external development partner to ensure solutions meet quality and scalability standards.
• Define data loading strategies for new sources and own the enhancement of the data testing framework.
• Collaborate with data architects to implement data contracts for both ingestion and publication of data.
• Integrate data pipelines with CI / CD processes and scheduling tools.
• Champion data management best practices, optimizing the use of tools for data quality, cataloging, and lineage.

Qualifications

• 10+ years of experience as a Data Engineer or in a similar senior technical role.
• Advanced knowledge of data management best practices, data architecture, data modeling, and data quality principles.
• Mastery of SQL and extensive hands-on experience with the Google Cloud Platform (GCP), particularly its data products.
• GCP certifications in Data Engineering or Data Architecture are required.
• Proven ability to be proactive, autonomous, and adaptable in a transformative environment with an evolving technology stack.
• Excellent proficiency in English is mandatory. Professional fluency in French is a strong asset.
• Asset: Knowledge of the wealth management or investment industry.

Summary

We are looking for a visionary Senior Data Engineer to lead the technical design and implementation of a modern data platform for a key Wealth Management division. This is a premier remote opportunity for a GCP-certified expert to shape data strategy, guide a development partner, and drive the adoption of DataOps principles. If you are a proactive leader with deep expertise in data engineering and cloud architecture, we invite you to apply.

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 [e-mail] to ensure their ability to fully participate in the interview process.