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Junior Data Engineer - New Grad

  • Markham, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Contract
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Junior Data Engineer - Contract (6 Months)

📍 Markham, ON | Hybrid (4 Days/Week in Office) | New Grad Welcome

We're looking for a motivated recent graduate to join our client's team on an initial 6-month contract as a Junior Data Engineer. Working in a hybrid model (4 days per week in office) out of Markham, ON, you'll be embedded with an experienced data engineering team, building and supporting data pipelines and solutions within a Microsoft Azure cloud environment. Strong performance may lead to contract extension or a full-time opportunity.

What You'll Do

  • Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure-native tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
  • Support the ingestion, transformation, and storage of structured and unstructured data across Azure Data Lake and other cloud storage solutions
  • Write and optimize SQL queries to support data validation, reporting, and analytics use cases
  • Collaborate with data analysts, data architects, and business stakeholders to understand data requirements and translate them into scalable solutions
  • Monitor and troubleshoot pipeline failures, data quality issues, and performance bottlenecks
  • Contribute to data documentation, data dictionaries, and lineage tracking to support governance standards
  • Participate in code reviews and contribute to best practices around data engineering and cloud infrastructure

What We're Looking For

  • Recent graduate - Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field
  • Academic, internship, or co-op experience working with data engineering concepts - ETL pipelines, data warehousing, or cloud data platforms
  • Hands-on exposure to Microsoft Azure services - Azure Data Factory, Azure Databricks, Azure Synapse, Azure Data Lake, or similar
  • Strong SQL skills - comfortable writing complex queries, joins, aggregations, and transformations
  • Familiarity with Python for data processing and scripting
  • Able to commute to Markham, ON for hybrid work arrangement

Nice to Have

  • Experience with Apache Spark or PySpark for large-scale data processing
  • Exposure to Azure DevOps or CI/CD pipelines for data workflows
  • Knowledge of data modelling concepts - star schema, data vault, or dimensional modelling
  • Familiarity with Power BI or other visualization tools
  • Microsoft Azure certifications (e.g., Azure Data Engineer Associate DP-203) or currently pursuing
More about this job

Responsibilities

Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure-native tools. Collaborate with stakeholders to translate data requirements into scalable solutions while monitoring pipeline performance and data quality.

Requirements

Requires a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. Candidates must have hands-on experience with Microsoft Azure services and strong SQL skills.

Skills

  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • SQL
  • Python
  • ETL
  • ELT
  • Data Pipelines
  • Azure Data Lake
  • Data Modeling
  • Apache Spark
  • PySpark
  • Azure DevOps
  • CI/CD
  • Power BI
  • Data Governance

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering
  • Consulting

Keywords

  • Data Engineering
  • Azure
  • Cloud Computing
  • ETL
  • ELT
  • SQL
  • Python
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Data Lake
  • Data Pipelines
  • Data Modeling
  • Apache Spark
  • PySpark
  • Azure DevOps
  • CI/CD
  • Power BI
  • Data Governance
  • Data Lineage
  • Star Schema
  • Data Vault
  • Dimensional Modelling
  • Computer Science
  • Software Engineering
  • Data Science
  • Cloud Infrastructure
  • Data Quality
  • Reporting
  • Analytics

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