Lead Data Engineer

Title: Lead Data Engineer

Location: Any Ipsos Canada Location

Who We Are:

Ipsos is one of the worlds largest research companies and currently the only one primarily managed by researchers ranking as a #1full-service research organization for four consecutive years. With over 75 different data-driven solutions and presence in 90 markets Ipsos brings together research implementation methodological and subject-matter experts from around the world combining thematic and technical experts to deliver top-quality research and insights. Simply speaking we help the biggest companies solve some of their biggest problems serving more than 5000 clients across the globe by providing research data and insights on their target tosharewevereceived our Great Place to Work Certification in 2024 for thethird yearrunning!

ABOUT The Ipsos DataHub

The Ipsos DataHub is a uniquely positioned group within Ipsos. It is a next-generation data platform designed to unlock the full value of data across the organization. By bringing together information technology and expertise in a seamless and secure ecosystem it empowers teams to move faster think bigger and deliver deeper more meaningful insights. DataHub is at the heart of Ipsos vision to transform how data drives decisions innovation and impact for clients worldwide.

Were looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and optimize our existing data pipeline and architecture. The ideal candidate will have experience using cloud-based platforms like Google Cloud Services and AWS to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets. The role also requires conscientious attention to detail an ability to work well on a small team and a self-starter approach to problem solving and debugging.

What you can expect to be doing:

• Lead the architecture design coding testing and delivery of cloud-based data pipelines and platform components that process and store large-scale datasets.
• Establish engineering standards reusable patterns and technical guardrails for data ingestion transformation orchestration storage and serving.
• Design and optimize data warehouses and distributed data systems for scalability security reliability performance and cost efficiency.
• Provide hands-on technical leadership through solution design code reviews debugging production support and mentorship of data engineers.
• Own production readiness and reliability practices for the data platform including service-level indicators/objectives (SLIs/SLOs) observability monitoring alerting capacity planning and failure-mode analysis.
• Lead incident response for data-platform and pipeline disruptions; drive root-cause analysis blameless post-incident reviews and corrective actions that reduce recurrence and operational toil.
• Improve software delivery and operations through automated testing CI/CD infrastructure as code runbooks release controls and operational tooling.
• Drive the migration of development code into production and ensure systems are supportable maintainable well-documented and production-grade.
• Partner with internal and external stakeholders to translate business and project needs into technical architecture delivery plans and clear trade-off decisions.
• Continuously troubleshoot and improve existing infrastructure and codebases and responsibly incorporate AI/LLM-based tools where they improve engineering productivity and quality.

This might be the job for you if you have:

• 8 years of professional experience in data engineering data platform engineering or a closely related field with demonstrated technical leadership on production systems.
• Bachelors degree in computer science or a related field required; masters degree or higher preferred.
• Proficiency in Python and advanced working knowledge of SQL.
• Strong hands-on experience with GCP services including BigQuery and GCS; familiarity with other cloud platforms is an asset.
• Hands-on SRE or production-engineering experience including observability SLIs/SLOs monitoring and alerting incident response post-incident reviews reliability automation and operational readiness.
• Experience with CI/CD and infrastructure-as-code practices; experience with tools such as Terraform is preferred.
• Prior success designing deploying and operating large-scale data pipelines and distributed storage/compute systems in production environments.
• Strong understanding of production failure modes performance tuning capacity planning data quality and disaster-recovery/recoverability concepts.
• Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
• Experience incorporating AI/LLM-based tools into data engineering workflows with demonstrated ability to critically evaluate outputs and apply sound engineering judgment to accept adapt or reject suggestions.
• Strong technical communication skills and the ability to explain complex engineering concepts influence technical decisions and work effectively in a highly collaborative consensus-oriented environment.
• Strong attention to detail excellent time-management skills and a track record of mentoring engineers and raising engineering standards across a team.

In accordance with Ontario & British Columbia law the estimated base salary range for this role is $130000 - $140000 CAD. Your final base salary will be determined based on several non-discrimatory factors which may include but are not limited to location work experience skills knowledge education and/or certifications.

If you dont meet 100% of the requirements we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization not just the one youre applying to!

Whatsin it for you:

At Ipsos youll experience opportunities for Career Development an exceptional benefits package (including generous PTO healthcare plans wellness benefits) a flexible workplace policy and a strong collaborative culture.

To find out more about all the great reasons to work at Ipsos how were making an impact around the world and more about our benefits and employee programs please visit:Why Work at Ipsos CA

Inclusive Workplace Commitment

Ipsos recognizes the necessity of building an inclusive culture that values each employees individuality and diverse perspectives. For more than 40 years our mission has been to generate and analyze data about society markets brands and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos diverse employees who compile and analyze this datathey are the essence of who we are and what we do.

We are committed to providing equal opportunity to all employees creating an environment that promotes inclusion and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner in line with code of best practices concerning diversity and inclusion human rights equality and civility for every individual.

Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin protected veteran status or any other protected class and will not be discriminated against on the basis of disability.

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