Title: Senior Data Engineer
Location: Remote – Canada only
Type: Full-time
A high-growth AdTech startup is hiring a Senior Data Engineer to take ownership of its entire data infrastructure. This is a hands-on, senior-level role supporting internal teams, product development, and client-facing analytics. You’ll join a small, technical team and work closely with the Product Lead, data science, and backend engineering.
What You’ll Be Doing
- Build and maintain robust, scalable data pipelines, supporting both internal and external reporting
- Own and evolve the data warehouse and data lake architecture (BigQuery, SQL, Dataform, Datastream, Dataflow)
- Implement and monitor ETL workflows with strong performance and reliability
- Ensure proper application of data privacy and compliance best practices
- Partner with the data science team to support model development and experimentation
- Collaborate with product and client success teams to translate business needs into reporting and data tools
- Conduct in-depth data analysis and build reporting systems that support company-wide decision making
- Help define and monitor key performance marketing metrics (CPA, CTR, ROAS, etc.) across AdTech systems
Who You Are
- 10+ years of experience in data engineering or adjacent backend roles
- Proven track record designing, building, and scaling data infrastructure
- Strong hands-on experience with Google Cloud Platform (BigQuery, Dataform, Datastream, Dataflow)
- Expert with SQL, Python (Jupyter/Notebooks), and PostgreSQL
- Strong knowledge of ETL design, data optimization, and real-time or batch data pipelines
- Understands and applies data privacy principles within data workflows
- Must have experience working in AdTech or MarTech with a solid grasp of performance marketing concepts — if you can’t define CPA, CTR, ROAS, and RTB, this isn’t for you
Nice to Have
- Familiarity with data science libraries: scikit-learn, matplotlib, seaborn, plotly, etc.
- Experience or interest in BI tools such as Tableau, Looker, or PowerBI