Position: Senior Data Engineer
Location: Hybrid/Toronto
Job ID#: RQ00527
Duration: 6 months
Overview
Ontario One
Call is seeking a highly technical Senior Data Engineer to support the Manager,
Data Engineering and AI Enablement in building and operating reliable,
production‑grade data pipelines and analytics foundations.
This role is
hands-on and delivery-focused. The Senior Data Engineer is responsible for
implementing data pipelines, transformations, and data quality controls using
Microsoft Fabric, SQL, and Python. The role supports enterprise reporting,
operational analytics, and data‑driven decision making by ensuring data is
accurate, timely, and trusted.
Key
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
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).
Qualifications/Experience
Required
- 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.
About
Symbiotic Digital.
Symbiotic Digital provides the IT Experts you need that
solve problems and get things done. See what the top 2% in their field
can do for you. (Symbiotic Digital is a division of Symbiotic Group
Inc.)
We serve customers in two ways, we
provide:
1. Digital Experts: IT Consulting expertise. Bright Minds That
Produce Proven Results
2. Recruitment: Find The Right People You Need
Serving IT & Business leaders,
Symbiotic Digital provides a business system that enable us to provide the
Expert Technical staff needed to solve challenging business and IT problems. IT
leaders in the most reputable organizations in Canada have relied on Symbiotic
Digital to help them staff difficult assignments with proven Experts uniquely
evaluated by our proven QMS- Quality Management System Staff Development Model.
We are a 100% Indigenous owned company.
Learn more online at https://www.symbioticgroup.com/home-sd/.
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