Data Engineer, Enterprise Data, Insights & Analytics
Torontoonsitemid$80K – $100K
Posted 5 days ago · via Workday
About this role
As a Data Engineer, Enterprise Data, Insights & Analytics, you will design, build, and maintain scalable data pipelines that support accurate, timely financial reporting and analytics. This senior individual contributor role combines strong data engineering expertise with business and financial understanding. You will work closely with Finance, Business, Analytics, and Technology teams to translate requirements into trusted, reconciled, and production‑ready data solutions. Your work ensures the integrity, consistency, and availability of data for recurring and ad hoc reporting, forecasting, and decision‑making in deadline‑driven environments.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, databricks, azure, serverless…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Toronto. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqldatabricksazureserverlesssparktableaugitjirateams