Data Engineering recruitment
Data engineering recruitment in Toronto and the GTA
Hire the engineers who build the pipelines and platforms your analytics and models depend on.
Why data engineering hiring is hard
Data engineering sits between software engineering and analytics, and candidates come from both sides. A strong SQL analyst and a strong platform engineer can share a job title.
Tool lists are long and change quickly. Knowing the name of a tool is not the same as having run it in production.
We find out what each candidate has built and operated, so you meet people whose experience matches your stack.
Roles we recruit for
- Data Engineer
- Analytics Engineer
- Data Architect
- Data Platform Engineer
- ETL and Pipeline Developer
- Data Engineering Manager
How we vet data engineering candidates
We interview candidates on their work before we put them forward.
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What they built
We ask about the pipelines and platforms they designed, and which part they owned.
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Fit with your architecture
Batch or streaming, warehouse or lake. We check their experience against what you run.
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Running it
We ask how they handled failures, data quality problems and growth in volume.
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Working with others
We note how they work with the analysts and data scientists who depend on them.
What people say about working with Monika
From the recommendations on Monika Chopra’s LinkedIn profile. Read all of them
“She has a very good understanding of technical recruitment. She can identify and suggest a good fit for your organization's needs.”
Nilesh Shah “I had a very detailed interview with her and she went through all my projects and skill sets.”
Nishit Vaghela How we work
Six steps, from the first call to your new hire’s start date. See the full process
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Intake call
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Sourcing
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Technical vetting
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Shortlist
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Interviews
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Offer and onboarding
Hiring in Data Engineering?
Send us a few details about the role and we will call you to talk through the search.