Cloud Data Engineer

POSITION SUMMARY

The Cloud Data Engineer plays a critical role in designing, building, and optimizing modern data platforms that power analytics, AI, and enterprise decision‑making. This role is responsible for developing scalable data pipelines, integrating data from diverse sources, and ensuring the reliability, quality, and performance of cloud‑based data ecosystems. Working closely with cross‑functional teams, the Cloud Data Engineer helps clients modernize their data capabilities and unlock the full value of cloud technologies.

Primary Location: Across Canada

Work Model: Hybrid 2-Days Onsite

Employment Type: Permanent Full-Time

Vacancy Status: Pipeline Requisition

Compensation Range: CAD 90,000 – 140,000/yr base salary

RESPONSIBILITIES: 

• Design, develop, and maintain cloud‑based data pipelines and ETL/ELT workflows
• Build scalable data ingestion processes for structured and unstructured datasets
• Implement data models and warehouse solutions aligned with business and analytical needs
• Optimize SQL queries and data processing jobs for performance and cost‑efficiency
• Develop cloud‑native integrations using services across platforms such as AWS, Azure, or GCP
• Ensure data quality, reliability, lineage, and compliance through best‑practice engineering standards
• Collaborate with analytics, engineering, and business teams to translate requirements into technical solutions
• Monitor and troubleshoot data pipelines, resolving performance and availability issues
• Participate in code reviews, architecture discussions, and continuous improvement initiatives
• Contribute to automation, DevOps practices, and CI/CD processes within data engineering workflows

 QUALIFICATIONS, SKILLS & EXPERIENCE: 

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• 3–5+ years of hands‑on experience in data engineering
• Strong SQL expertise, including performance tuning and complex query development
• Experience building ETL/ELT pipelines and working with large‑scale datasets
• Proficiency with at least one major cloud platform (AWS preferred; Azure/GCP an asset)
• Hands‑on experience with cloud data warehousing technologies (e.g., Redshift, BigQuery, Synapse)
• Familiarity with Python or PySpark for data processing and automation
• Strong understanding of data modeling concepts (star schema, normalization, dimensional modeling)
• Experience with version control, CI/CD, and DevOps practices
• Excellent communication and problem‑solving skills

 PREFERRED: 

• Experience with big data frameworks (e.g., Spark, Hadoop)
• Exposure to cloud‑native services such as AWS Glue, Lambda, S3, Athena, or Azure Data Factory
• Knowledge of data governance, quality frameworks, and lineage tools
• Experience working directly with business stakeholders in consulting or client‑facing projects

 NICE TO HAVE: 

• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Hands‑on experience with Databricks
• Exposure to ML‑ready data preparation and feature engineering
• Experience with Agile/Scrum delivery models

 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
• Competitive compensation package
• Comprehensive benefits plan
• 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 '' or '' 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 to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.