DataOps/Cloud Data Engineer – Senior
Pay Rate: Flexible
Location: Toronto, Ontario
Contract Length: 6 Months, Onsite
We at Raise are hiring right now for one of our Clients. If you’re interested, apply below for your chance to join a great place to work.
Responsibilities:
· Design, build, and maintain end to end data pipelines using Microsoft Fabric, including Lakehouse, Data Factory, Dataflows, and notebooks.
· Develop and optimize SQL based transformations, data models, and curated datasets for enterprise reporting and analytics.
· Build and maintain Python based data engineering logic for ingestion, transformation, validation, and automation.
· Implement and operate data quality controls, including validation rules, reconciliation checks, and exception handling.
· Monitor data pipelines, investigate failures or data quality issues, and implement fixes with minimal escalation.
· Integrate data from multiple enterprise systems, including CRM, ticketing systems, telephony platforms, and operational databases.
· Maintain technical documentation, data lineage, and operational runbooks for owned pipelines and datasets.
· Work closely with the Manager and Data Analysts to ensure data assets meet defined standards and reporting requirements.
Required Qualifications and Experience:
· Minimum 7 years of hands-on experience in data engineering or analytics engineering roles.
· Strong, practical experience with Microsoft Fabric in a production environment.
· Advanced proficiency in SQL, including complex transformations and performance optimization.
· Strong hands-on experience using Python for data engineering and automation.
· Demonstrated experience implementing data quality controls and operating reliable data pipelines.
· Experience working in cloud-based data platforms and modern data architectures.
· Ability to deliver independently while aligning to technical direction and priorities set by management.
· Microsoft certifications preferred such as Microsoft certified Fabric analytics engineer, Azure data engineer or Microsoft data platform certification.
Preferred Qualifications:
· Degree in Computer Science, Engineering, or a related technical field.
· Experience supporting Power BI semantic models and enterprise reporting environments.
· Familiarity with Git, version control, and basic CI/CD practices for data engineering.
· Experience working in regulated, operational, or public sector environments.
Must Haves:
· Minimum 7 years Demonstrated hands-on experience building and maintaining end-to-end data pipelines in production
· Minimum 7 years Strong expertise in SQL and Python from an engineering standpoint
· Minimum 7 years Experience implementing data quality controls, monitoring, and troubleshooting with minimal escalation
· Minimum 7 years Practical experience with modern data platforms (e.g., Microsoft Fabric or similar enterprise environments)
Looking for meaningful work? We can help!
aise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/
In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 orhello@raiserecruiting.com