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SGS Consulting

Data Engineer

Canada

Job type: Contract
Experience: 3+ years of experience in data engineering, including cloud-based pipeline development
Posting language: English
Posted: Sep 22, 2026

This opening has closed.

The original listing is kept below for reference.

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Original job description

Archived listing. The details below describe a past opening.

Client is seeking a data engineer contractor to join our growing analytics team.
We are seeking an experienced contract Data Engineer to design and build scalable data pipelines for structured and unstructured data across AWS and Google Cloud.
This role will develop and maintain our cloud-based data architecture, including Apache Iceberg tables on AWS S3 and Glue, data delivery to Google BigQuery, and AI agents built with Google ADK and Agent Studio. The role is also responsible for troubleshooting and resolving complex issues in production systems, ensuring minimal downtime and optimal performance.
The ideal candidate is detail oriented, comfortable working with large, high-frequency data sets, and able to deliver independently.
They bring a problem solving mindset, clear documentation habits, the ability to collaborate closely with our business team, and drive to optimize data processes.

Key Responsibilities:

Design, build, and maintain scalable data pipelines for structured and unstructured data across AWS and Google Cloud, using Python, SQL, and Apache Airflow
Build and manage Apache Iceberg tables on AWS S3 with AWS Glue, and deliver data to Google BigQuery for downstream analytics and agent use
Build curated business tables for structured data to support reporting, analytics, and AI agents
Integrate REST APIs for data ingestion and external system connectivity
Build, deploy, and maintain Google agents using Google ADK and Agent Studio
Work with large data sets and high-frequency data, optimizing pipelines for performance, reliability, and cost
Apply cloud architecture best practices and CI/CD practices for testing, deployment, and version control
Configure and manage Google IAM permissions to support secure, least-privilege access
Document architecture components, workflows, and technical decisions to support transparency and knowledge sharing
Monitor and troubleshoot pipeline performance and failures using logging and observability tools

Qualifications:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related fields
3+ years of experience in data engineering, including cloud-based pipeline development
Experience with AWS S3 and AWS Glue, including building and maintaining Apache Iceberg tables
Experience with Google Cloud services, including BigQuery and Google IAM permissions
Experience building and maintaining agents with Google ADK and Agent Studio
Proficient in Python and SQL, with experience in PostgreSQL
Experience with workflow orchestration using Apache Airflow
Knowledge of storing and retrieving structured and unstructured data at scale
Knowledge of REST APIs and authentication (OAuth2, key pair authentication)
Knowledge of cloud architecture and CI/CD practices
Strong documentation and communication skills; able to work independently in a contract capacity

Technical Stack & Collaboration:

Technical Stack
Primary Tools & Technologies:
Python
Snowflake (Tasks, UDFs)
Google BigQuery
AWS Glue
ServiceNow REST API
Airflow
Preferred Experience:
Minimum 2+ years in data engineering
AI Integration
Importance: High priority - candidates must have working knowledge of AI endpoints and automation.
Team Collaboration
Team Structure: This role will be part of a larger data and analytics team

About employer

More about this job

Responsibilities

Design, build, and maintain scalable data pipelines for structured and unstructured data across AWS and Google Cloud. Manage Apache Iceberg tables and develop AI agents using Google ADK and Agent Studio.

Requirements

Requires a bachelor's degree in a relevant field and at least 3 years of experience in data engineering. Candidates must be proficient in Python, SQL, and cloud-based pipeline development.

Skills

Python
SQL
Apache Airflow
AWS S3
AWS Glue
Google BigQuery
Apache Iceberg
Google ADK
Agent Studio
Cloud Architecture
CI/CD
REST APIs
PostgreSQL
Data Engineering
Data Pipelines
IAM Permissions

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Python
SQL
Apache Airflow
AWS
Google Cloud
Apache Iceberg
AWS S3
AWS Glue
Google BigQuery
AI Agents
Google ADK
Agent Studio
Cloud Architecture
CI/CD
REST APIs
PostgreSQL
Data Pipelines
IAM
Analytics
Data Engineering
Automation
Observability
Logging
OAuth2
Data Ingestion
Scalability
Performance Optimization
Version Control
Technical Documentation

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