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Data Engineer (x4) (54540)
Data Engineer (x4) (54540)code4 • Regional Municipality of Peel, Canada
No longer accepting applications
Data Engineer (x4) (54540)

Data Engineer (x4) (54540)

code4 • Regional Municipality of Peel, Canada
2 days ago
Job type
  • Full-time
Job description

About the Company

Our client is a leading Canadian energy organization with a strong presence across Ontario.  They operate critical infrastructure that supports millions of customers and drives economic growth.

Why Work Here

Our client is engaging in ongoing transformation and investing in cutting-edge technologies and modernizing operations to meet the evolving needs of the energy sector.  By joining, you will be part of an organization that values collaboration, professional development, and making a meaningful impact on the future of clean energy.

About the Opportunity

  • Data Architecture & Development : Build reliable, supportable, and high-performance data lake and data warehouse products to meet organizational needs for analytics, reporting, and innovation.

Pipeline Engineering : Design and productionize modular, scalable ELT / ETL pipelines and data infrastructure, leveraging a wide range of data sources.

Data Modeling : Collaborate with Data Modelers and Architects to build curated, business-centric data models that serve as a single source of truth for reporting and downstream applications.

Security & Compliance : Partner with infrastructure and cybersecurity teams to ensure data security in transit and at rest.

Data Preparation : Clean, prepare, and optimize datasets for performance, applying lineage and quality controls throughout the integration cycle.

Analytics Support : Assist Business Intelligence Analysts with dimensional modeling and aggregation optimization for visualization and reporting.

Issue Resolution : Troubleshoot ingestion, transformation, pipeline performance, and data integrity issues.

Collaboration : Work closely with analysts, scientists, engineers, and architects to develop pipelines that feed enterprise data marketplaces.

Process Improvement : Identify and implement automation, scalability enhancements, and infrastructure optimizations.

Technology Stack : Utilize Microsoft tools including Azure Data Factory, Azure Data Lake, Azure SQL Databases, Synapse Analytics, Databricks, Microsoft Purview, and Power BI.

Agile Delivery : Contribute within SCRUM and Kanban frameworks, supporting backlog development and iterative delivery.

Metadata Management : Assist in building and maintaining enterprise data catalogs and metadata repositories.

Programming & Optimization : Develop performant pipelines and models using Python, Spark, and SQL, consuming diverse data formats (XML, CSV, JSON, REST APIs).

Documentation & Source Control : Maintain clear documentation of pipelines and products, ensuring codebase sustainability through version control.

Orchestration : Implement pipeline execution orchestration to meet latency expectations and manage dependencies.

Automation Tools : Collaborate on tooling to reduce manual effort and enhance efficiency.

DevOps Integration : Support CI / CD pipelines for infrastructure automation, code delivery, and release management.

Operations Support : Monitor production solutions, troubleshoot issues, and provide Tier 2 support for datasets.

Access Control : Implement role-based access to data products in alignment with governance standards.

Testing & Quality Assurance : Write and perform automated unit and regression tests, assist with user acceptance and integration testing, and contribute to test case design.

Peer Collaboration : Participate in peer code reviews to ensure quality and maintainability.

About You

Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience).

Proven experience designing and building data pipelines in enterprise environments.

Proficiency in Python, PySpark, SparkSQL, and SQL.

Hands-on experience with Azure Data Factory, Azure Data Lake Storage (ADLS), Synapse Analytics, and Databricks.

Strong background in building pipelines for Data Lakehouses and Data Warehouses.

Solid understanding of data structures, frameworks, and processing methodologies.

Knowledge of data governance and data quality principles.

Effective communication skills, with the ability to translate technical concepts for non-technical stakeholders.

Pay Range

$87.58 / hr

How to Apply

Click the “Apply Now” button and follow the instructions to submit your resume. Please know that we only accept documents in MS Word or Rich Text formats.

When referencing this job, quote  # .

You must currently reside within the Greater Toronto Area and be permitted to work in Canada to be considered for this opportunity. A recruiter will be in touch with you if your profile meets our client’s requirements for this role.

Determining compensation for this role (and others) at Vaco / Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco / Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer : Unless otherwise noted in the job description, the position Vaco / Highspring is filing for is occupied. Please note, however, that Vaco / Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco / Highspring will be otherwise assessed by recruiters and hiring managers. Vaco / Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

Vaco by Highspring values a diverse workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

EEO Notice

Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.

Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and / or to receive other benefits and privileges of employment, please contact .

Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal .

By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.

Privacy Notice

Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.

California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here .

  • Virginia residents may access our state specific policies here .
  • Residents of all other states may access our policies here .
  • Canadian residents may access our policies in English here and in French here .
  • Residents of countries governed by GDPR may access our policies here .
  • Pay Transparency Notice

    Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to :

  • the individual’s skill sets, experience and training;
  • licensure and certification requirements;
  • office location and other geographic considerations;
  • other business and organizational needs.
  • With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

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    Data Engineer x4 54540 • Regional Municipality of Peel, Canada

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