Home › Companies › Careers Adastragrp Icims Com › Data Engineer
Data Engineer
Careers Adastragrp Icims Com · Toronto, ON, CA · Hybrid · Deleted · iCIMS
Job facts
| Field | Value |
|---|---|
| Company | Careers Adastragrp Icims Com |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | Consultant |
| Location | Toronto, ON, Canada |
| Work model | Hybrid / Hybrid |
| Employment type | OTHER |
| Salary | - |
| Status | deleted |
| ATS provider | iCIMS |
| Posted / first seen | 2026-06-11 / 2026-06-12 |
| Changed / last seen | 2026-06-18 / 2026-06-16 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Careers Adastragrp Icims Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through iCIMS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Toronto. | Open |
| Department jobs | Active postings in Consultant. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Careers Adastragrp Icims Com |
| Source | e365fe21-1fb8-4d10-a343-b25881ef124d |
| ATS provider | iCIMS |
Description
Overview
Adastra is seeking a hands-on Data Engineer to design, build, and maintain scalable data solutions in a cloud-based environment for a major retail client (Loblaw). This role will focus on developing robust data pipelines, transforming and optimizing large datasets, and leveraging GCP BigQuery to enable reliable analytics and reporting across SAP S/4HANA Cerebro Reporting initiatives.
The ideal candidate has strong SQL and Python expertise, experience working with production-scale data systems, and the ability to collaborate effectively with both technical and business stakeholders to deliver high-quality, scalable data solutions.
Primary Location: Brampton, ON
Work Model: Hybrid 3-Days Onsite
Employment Type: Contractor
Vacancy Status: New
RESPONSIBILITIES
Design, develop, and maintain scalable and reliable data pipelines
Write, optimize, and troubleshoot complex SQL queries for large datasets
Build and manage datasets within GCP BigQuery, including query optimization and performance tuning
Develop data transformation workflows using Python
Ensure data quality, integrity, and consistency across systems
Support data modeling efforts to enable analytics and downstream consumption
Collaborate with analysts, data scientists, and business stakeholders to translate requirements into technical solutions
Document data processes, workflows, and system architecture
Contribute to best practices in data engineering, governance, and performance optimization
QUALIFICATIONS, SKILLS & EXPERIENCE
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
5+ years of hands-on Data Engineering experience
Strong hands-on experience with SQL (complex joins, aggregations, performance tuning)
Strong proficiency in Python for data processing, ETL development, and automation
Experience working within Google Cloud Platform (GCP), specifically BigQuery
Experience building and maintaining production-grade data pipelines
Solid understanding of data modeling and large-scale data processing
Experience working with structured and semi-structured datasets
Strong analytical and problem-solving abilities
Excellent communication skills with the ability to collaborate cross-functionally
NICE TO HAVE
Experience with orchestration tools (e.g., Airflow or similar)
Experience with dbt or modern data transformation frameworks
Familiarity with CI/CD practices for data engineering
Experience working in Agile environments
Exposure to data governance and data quality frameworks
Experience supporting machine learning or advanced analytics workloads
ABOUT ADASTRA
Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence—responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.
Trusted by some of the world’s most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey—building future-ready capabilities and delivering measurable, lasting impact.
Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.
WHAT WE OFFER
Opportunity for advancement and career progression
Successful referral program
The opportunity to work with one of Canada's 50 Best Managed Companies
Satisfaction of working for a reputable company
A flexible, dynamic, and diverse workplace
EQUAL OPPORTUNITY EMPLOYER
In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporation’s implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.
AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.
There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from ‘@adastragrp.com’ or ‘@talent.icims.com’ are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.
Contact [email protected] to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.
Full job record
| Job ID | 8cdc9fa80c26a6d6cfedf8cd15f1c4a91fcc0a8a |
| Org ID | 5dc11305-223f-4bd0-bd8b-bd44420b06fe |
| Source ID | e365fe21-1fb8-4d10-a343-b25881ef124d |
| Board ID | e365fe21-1fb8-4d10-a343-b25881ef124d |
| Provider | icims |
| Provider Job Key | 5304 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Toronto, ON, CA |
| Department | Consultant |
| Team | — |
| Employment Type | OTHER |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | Canada |
| Region | ON |
| City | Toronto |
| Salary Raw | Overview Adastra is seeking a hands-on Data Engineer to design, build, and maintain scalable data solutions in a cloud-based environment for a major retail client (Loblaw). This role will focus on developing robust data pipelines, transforming and optimizing large datasets, and leveraging GCP BigQuery to enable reliable analytics and reporting across SAP S/4HANA Cerebro Reporting initiatives. The ideal candidate has strong SQL and Python expertise, experience working with production-scale data systems, and the ability to collaborate effectively with both technical and business stakeholders to deliver high-quality, scalable data solutions. Primary Location: Brampton, ON Work Model: Hybrid 3-Days Onsite Employment Type: Contractor Vacancy Status: New RESPONSIBILITIES Design, develop, and maintain scalable and reliable data pipelines Write, optimize, and troubleshoot complex SQL queries for large datasets Build and manage datasets within GCP BigQuery, including query optimization and performance tuning Develop data transformation workflows using Python Ensure data quality, integrity, and consistency across systems Support data modeling efforts to enable analytics and downstream consumption Collaborate with analysts, data scientists, and business stakeholders to translate requirements into technical solutions Document data processes, workflows, and system architecture Contribute to best practices in data engineering, governance, and performance optimization QUALIFICATIONS, SKILLS & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field 5+ years of hands-on Data Engineering experience Strong hands-on experience with SQL (complex joins, aggregations, performance tuning) Strong proficiency in Python for data processing, ETL development, and automation Experience working within Google Cloud Platform (GCP), specifically BigQuery Experience building and maintaining production-grade data pipelines Solid understanding of data modeling and large-scale data processing Experience working with structured and semi-structured datasets Strong analytical and problem-solving abilities Excellent communication skills with the ability to collaborate cross-functionally NICE TO HAVE Experience with orchestration tools (e.g., Airflow or similar) Experience with dbt or modern data transformation frameworks Familiarity with CI/CD practices for data engineering Experience working in Agile environments Exposure to data governance and data quality frameworks Experience supporting machine learning or advanced analytics workloads ABOUT ADASTRA Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence—responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement. Trusted by some of the world’s most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey—building future-ready capabilities and delivering measurable, lasting impact. Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia. WHAT WE OFFER Opportunity for advancement and career progression Successful referral program The opportunity to work with one of Canada's 50 Best Managed Companies Satisfaction of working for a reputable company A flexible, dynamic, and diverse workplace EQUAL OPPORTUNITY EMPLOYER In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporation’s implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance. AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions. There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees. Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from ‘@adastragrp.com’ or ‘@talent.icims.com’ are fraudulent. All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent. Contact [email protected] to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | hour |
| Source URL | https://careers-adastragrp.icims.com/jobs/5304/data-engineer/job |
| Apply URL | https://careers-adastragrp.icims.com/jobs/5304/data-engineer/job |
| First Seen At | 2026-06-12 08:41:09Z |
| Last Seen At | 2026-06-16 08:42:01Z |
| Last Checked At | 2026-06-18 08:41:58Z |
| Last Changed At | 2026-06-18 08:41:58Z |
| Inactive At | 2026-06-18 08:41:58Z |
| Source Posted At | 2026-06-11 04:00:00Z |
| Source Updated At | 2026-06-15 15:24:02Z |
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"description": "<h2>Overview</h2>\n<p>Adastra is seeking a hands-on Data Engineer to design, build, and maintain scalable data solutions in a cloud-based environment for a major retail client (Loblaw). This role will focus on developing robust data pipelines, transforming and optimizing large datasets, and leveraging GCP BigQuery to enable reliable analytics and reporting across SAP S/4HANA Cerebro Reporting initiatives.</p>\n<p> </p>\n<p>The ideal candidate has strong SQL and Python expertise, experience working with production-scale data systems, and the ability to collaborate effectively with both technical and business stakeholders to deliver high-quality, scalable data solutions.</p>\n<p> </p>\n<p><strong>Primary Location:</strong> Brampton, ON</p>\n<p><strong>Work Model: </strong> Hybrid 3-Days Onsite</p>\n<p><strong>Employment Type: </strong> Contractor</p>\n<p><strong>Vacancy Status: </strong> New</p>\n<p><strong>RESPONSIBILITIES</strong></p>\n<ul>\n <li>Design, develop, and maintain scalable and reliable data pipelines</li>\n <li>Write, optimize, and troubleshoot complex SQL queries for large datasets</li>\n <li>Build and manage datasets within GCP BigQuery, including query optimization and performance tuning</li>\n <li>Develop data transformation workflows using Python</li>\n <li>Ensure data quality, integrity, and consistency across systems</li>\n <li>Support data modeling efforts to enable analytics and downstream consumption</li>\n <li>Collaborate with analysts, data scientists, and business stakeholders to translate requirements into technical solutions</li>\n <li>Document data processes, workflows, and system architecture</li>\n <li>Contribute to best practices in data engineering, governance, and performance optimization</li>\n</ul>\n<p><strong>QUALIFICATIONS, SKILLS & EXPERIENCE</strong></p>\n<ul>\n <li>Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field</li>\n <li>5+ years of hands-on Data Engineering experience</li>\n <li>Strong hands-on experience with SQL (complex joins, aggregations, performance tuning)</li>\n <li>Strong proficiency in Python for data processing, ETL development, and automation</li>\n <li>Experience working within Google Cloud Platform (GCP), specifically BigQuery</li>\n <li>Experience building and maintaining production-grade data pipelines</li>\n <li>Solid understanding of data modeling and large-scale data processing</li>\n <li>Experience working with structured and semi-structured datasets</li>\n <li>Strong analytical and problem-solving abilities</li>\n <li>Excellent communication skills with the ability to collaborate cross-functionally</li>\n</ul>\n<p> </p>\n<p><strong>NICE TO HAVE </strong></p>\n<ul>\n <li>Experience with orchestration tools (e.g., Airflow or similar)</li>\n <li>Experience with dbt or modern data transformation frameworks</li>\n <li>Familiarity with CI/CD practices for data engineering</li>\n <li>Experience working in Agile environments</li>\n <li>Exposure to data governance and data quality frameworks</li>\n <li>Experience supporting machine learning or advanced analytics workloads</li>\n</ul>\n<p> </p>\n<p><strong>ABOUT ADASTRA</strong></p>\n<p>Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence—responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement. </p>\n<p> </p>\n<p>Trusted by some of the world’s most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey—building future-ready capabilities and delivering measurable, lasting impact. </p>\n<p> </p>\n<p>Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.</p>\n<p> </p>\n<p><strong>WHAT WE OFFER</strong></p>\n<ul>\n <li>Opportunity for advancement and career progression</li>\n <li>Successful referral program</li>\n <li>The opportunity to work with one of Canada's 50 Best Managed Companies </li>\n <li>Satisfaction of working for a reputable company </li>\n <li>A flexible, dynamic, and diverse workplace </li>\n</ul>\n<p> </p>\n<p><strong>EQUAL OPPORTUNITY EMPLOYER</strong></p>\n<p>In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. 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All employment offers are sent via DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, it is fraudulent.</em></p>\n<p> </p>\n<p><em>Contact [email protected] to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.</em></p>",
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