Senior Data Engineer — Scale ETLs with PySpark & Databricks

Afresh; Canada; On-site; CAD 142,000 - 170,000; Full time

Job summary

A mission-driven tech company in Canada is seeking a Senior Data Engineer to optimize customer data integration and processing. The ideal candidate will design ETLs for large datasets and enhance the data platform to support new product features. Strong skills in Python and data analysis are essential. This role offers a salary of CAD $142k–$170k, with a focus on reducing food waste through innovative technology.

Benefits

Challenging, real-world problems

Collaborative, supportive team

Cutting-edge tools

Qualifications

• Significant experience designing and maintaining ETLs that process large‑scale datasets.
• Strong problem‑solving skills with ambiguous or incomplete requirements.
• Experience working directly with complex, unclean datasets.

Responsibilities

• Build tools and frameworks that streamline customer integrations.
• Create robust ETLs to process billions of records.
• Collaborate with teams to deliver data solutions for new products.

Skills

Python

PySpark

SQL

Databricks

Snowflake

DBT

Data quality analysis

Data integration

Job description

A mission-driven tech company in Canada is seeking a Senior Data Engineer to optimize customer data integration and processing. The ideal candidate will design ETLs for large datasets and enhance the data platform to support new product features. Strong skills in Python and data analysis are essential. This role offers a salary of CAD $142k–$170k, with a focus on reducing food waste through innovative technology.