Senior Data Engineer

TekRek; Ontario; On-site; CAD 140,000 - 190,000; Full time

Job summary

An innovative tech company is seeking a Senior Data Engineer to join their team in building a cutting-edge cloud-native data platform. This role offers the opportunity to work on greenfield projects, developing scalable data solutions that support analytics and machine learning. You'll collaborate with a talented team to design and implement robust data architectures, ensuring data governance and reliability. If you're passionate about data engineering and eager to make a significant impact, this position is perfect for you!

Qualifications

• 5+ years of experience in data engineering or data platform roles.
• Strong experience designing and scaling cloud-native data platforms.

Responsibilities

• Design and build robust data platforms on GCP, AWS, or Azure.
• Develop scalable batch and streaming pipelines using Spark and Kafka.

Skills

Data Engineering

Python

Java

Scala

SQL

NoSQL

Cloud Infrastructure

Data Governance

CI/CD

Data Analytics

Tools

GCP

AWS

Azure

BigQuery

Snowflake

dbt

Airflow

Kafka

Spark

Job description

TekRek Greater Toronto and Hamilton Area, Ontario, Canada

TekRek Greater Toronto and Hamilton Area, Ontario, Canada

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This range is provided by TekRek. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$140,000.00/yr - CA$190,000.00/yr

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Software Dev & Engineering | Technology & Financial Industries | Passionate about Recruitment

We’re hiring on behalf of a fast-growing tech company building a cloud-native data platform that supports large-scale analytics, real-time processing, and machine learning. This is a high-impact role for a Senior Data Engineer to scale the data platform infrastructure from the ground up.

What You’ll Do

• Design and build robust data platforms on GCP, AWS, or Azure
• Develop scalable batch and streaming pipelines (Spark, Kafka, dbt, Airflow)
• Architect data lake and warehouse solutions (BigQuery, Snowflake, Delta Lake)
• Implement ETL/ELT workflows with strong data governance and reliability
• Define and evolve semantic layers and data models to support analytics and AI
• Collaborate with software engineers, analysts, and data scientists to enable data access and insights
• Establish platform-level best practices for observability, testing, and CI/CD

What We’re Looking For

• 5+ years of experience in data engineering or data platform roles
• Strong experience designing and scaling cloud-native data platforms; ideally in a start up with a modern data stack.
• Deep proficiency in Python, Java, or Scala
• Hands-on experience with tools like BigQuery, Snowflake, dbt, Airflow, Kafka, Spark
• Solid SQL and NoSQL database knowledge
• Cloud infrastructure expertise (GCP preferred, also AWS or Azure)
• Experience building data platforms that support cross-team use cases (BI, ML, product analytics)

Why Apply?

This company has exceptional founders and a talented team. This is a great opportunity to work on greenfield projects and building data stacks from scratch. If you’re interested to learn more, please apply or email me at [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development and Data Infrastructure and Analytics

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