Senior / Lead Data Engineer (remote)

North American Search Group; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading search recruitment firm in Canada is looking for a skilled Data Engineer to design and build scalable data solutions. The ideal candidate will have over 5 years of relevant experience and be proficient in SQL and Python. Responsibilities include generating actionable insights, developing automated pipelines, and collaborating with various teams. This role offers an exciting opportunity to contribute to innovative data solutions and AI usage.

Qualifications

• 5+ years of relevant data engineering experience.
• Deep experience implementing DBT and driving ETL/ELT development.
• Expert SQL and Python skills.

Responsibilities

• Design and build scalable data solutions.
• Generate actionable insights to support decisions.
• Develop automated pipelines and algorithms.
• Interpret and communicate insights.

Skills

Data engineering

SQL

Python

DBT

ML data pipelines

Job description

RESPONSIBILITIES

• Design and build scalable data solutions to consolidate and analyze large, diverse data sources.
• Generate actionable insights to support product, client, and business decision-making.
• Partner with product and service teams to define analytical needs and experiments.
• Develop automated pipelines, algorithms, and processes to cleanse, integrate, and analyze data.
• Interpret and communicate insights to technical and non-technical stakeholders.
• Provide hands‑on leadership to data engineers across multiple projects.
• Lead data preparation and pipeline development for predictive modeling.
• Perform data exploration, validation, and reconciliation.
• Build, maintain, and monitor data pipelines and features.
• Collaborate with product managers, data scientists, actuaries, and architects.
• Promote high‑quality delivery, ownership, and accountability.
• Create reusable, well‑documented data assets and code.
• Contribute to innovation and responsible use of AI.

QUALIFICATIONS

• 5+ years of relevant data engineering experience
• Deep experience implementing DBT and driving ETL/ELT development
• Expert SQL and Python skills
• Exposure to building ML data pipelines and features for predictive modeling