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Klick

Marketing and commercialization for life sciences

Senior Data Solutions Consultant

Data EngineeringPosted on Nov 10
Full-timeToronto, ON, CanadaCA$90k - CA$105k

About the Job

Requirements

  • Experience using Python and SQL to build, optimize, and maintain production-ready data pipelines and data models.
  • 4–5 years of hands-on experience developing scalable data solutions and designing and supporting ETL pipelines for analytics and reporting.
  • Experience working with clickstream datasets, enterprise data lakes, and modern cloud data warehouse platforms, preferably Snowflake, supporting analytics or marketing use cases.
  • Experience gathering technical requirements from business stakeholders and clients, translating business needs into production-ready data solutions and measurable deliverables.
  • Experience developing business intelligence solutions using Power BI, Microsoft Fabric, Tableau, or comparable visualization platforms, with examples of dashboards or reporting solutions delivered.

Responsibilities

  • Build analytics products, including business intelligence dashboards, system integrations, data outputs, presentations, and AI-enabled solutions, using platforms such as Power BI, Microsoft Fabric, and Tableau.
  • Develop, maintain, and optimize enterprise data warehouse solutions, preferably in Snowflake, while ensuring data quality, reliability, scalability, and performance.
  • Design, develop, and optimize scalable ETL pipelines using Python and SQL to support analytics, reporting, AI solutions, and client deliverables.
  • Collaborate with data analysts, project managers, business analysts, and client stakeholders to gather technical requirements, define solution architecture, and deliver measurable business outcomes.
  • Standardize and improve engineering practices through reusable code, Git version control, documentation, SOP development, and scalable data engineering processes that support operational excellence.

Desired Qualifications

  • Comfort and enthusiasm for using AI as a regular part of how work gets done.
  • Experience supporting healthcare, pharmaceutical, or life sciences data, analytics, or omnichannel marketing initiatives.
  • Experience designing relational database structures, dimensional models, and enterprise data architecture supporting scalable analytics platforms.
  • A bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline.
  • Experience implementing Git-based development workflows, documentation standards, and reusable engineering practices across collaborative technical teams.

About the Company

Klick

Marketing and commercialization for life sciences

Klick Health is a marketing and commercialization partner for the life sciences industry. It offers services such as marketing, advertising, medical communications, and patient engagement for pharmaceutical, biotechnology, and medical device companies. Klick Health works by delivering integrated solutions that help clients bring new products to market and maximize their commercial success, using data analytics and technology to shape strategies and measure impact. The company differentiates itself through its industry focus on life sciences, its end-to-end services, and its data-driven approach, along with a global expansion beyond strong North American presence. Its goal is to help clients launch products effectively and grow their market impact, while extending its global reach to serve clients worldwide.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
1997

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