Senior Data Engineer at ecqf in Canada

Job description

• We’re 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.

Responsibilities

• Design, code, and test cloud-based data pipelines to process and store large-scale datasets.
• Develop and maintain data warehouses to efficiently store large, complex datasets in a cost-optimal manner.
• Ingest and assemble data from various disparate sources using a variety of tools, including Python and SQL.
• Work with internal/external stakeholders to identify and understand needs and project goals.
• Drive the migration of development code into production, providing technical assistance and guidance to refine and optimize processes.
• Troubleshoot and improve existing infrastructure and codebases.

Requirements

• 5+ years of professional experience as a data engineer
• Bachelor's degree in computer science or a related field required, master’s degree or higher preferred
• Proficiency in Python & advanced working knowledge of SQL
• Experience incorporating AI/LLM-based tools into data engineering workflows, with demonstrated ability to critically evaluate AI outputs and apply sound engineering judgment to accept, adapt, or reject suggestions.
• Strong technical communication skills
• Experience with collaboration tools (e.g. Atlassian suite) and version control systems (e.g. Git).
• Strong hands-on experience with GCP services (e.g. BigQuery, GCS); familiarity with other cloud platforms is an asset.
• Comfortable working in a highly collaborative, consensus-oriented environment.
• Prior success designing and deploying data pipelines in large-scale production environments.
• Strong eye for detail, ability to communicate scientific concepts both in written form and verbally, and excellent time-management skills.
• Large dataset manipulation. Experience in distributed storage and computing.

Skills

Required

• Proficiency in Python
• Advanced working knowledge of SQL
• Large dataset manipulation

Preferred

• Familiarity with other cloud platforms
• Experience with AI/LLM-based tools

Benefits

• At Ipsos you’ll 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 we’re making an impact around the world, and more about our benefits and employee programs, please visit: Why Work at Ipsos | CA
• In accordance with Ontario & British Columbia law, the estimated base salary range for this role is $100,000 - $110,000 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.