Job Description

The City is committed to fostering a respectful, inclusive and equitable workplace which is representative of the community we serve. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are available during the hiring process, upon request.

As the Data Quality Engineer, you will be responsible for ensuring the accuracy, integrity, and reliability of data across Fleet and Inventory (F&I). In this role you will design and implement the business unit data workflows, the unstructured data repository, robust data pipelines, data quality processes, performing data analysis, and collaborate with various teams to maintain high data standards necessary to make high dollar value asset acquisition and management decisions. You will also lead the proactive management F&I’s data sources to achieve data quality targets, interacts with users to understand their data needs and limitations and develops training materials to address gaps in F&I’s data health. Primary duties include:

• Design and develop data governance and compliance practices and processes for business unit. Ensure data governance policies and procedures are followed.
• Monitor compliance with data quality standards and regulatory requirements.
• Maintain Fleet & Inventory Data Strategy and ensures constant deep understanding of the business context for the intended use of data.
• Create and deploy training material related to data improvement needs.
• Conduct regular data quality assessments for data quality (validity, accuracy, completeness, consistency) as business unit data steward to identify and resolve data issues.
• Perform root cause analysis of data quality issues and implements corrective actions.
• Identify areas of opportunity to map available data sets to data consumers’ strategic initiatives/directions, provide recommendations on additional data streams that may be necessary and participate and lead data quality-related projects and initiatives.

Qualifications 

• A degree in software , data or related discipline in Engineering and at least 5 years of professional engineering experience on progressively more complex projects in data science field obtained after receiving your P. Eng. Designation and a current licensure as a Professional Engineer with the Association of Professional Engineers and Geoscientists of Alberta (APEGA) complete with practicing status OR licensure and practicing status by the first day of work Click here for more details. OR,
• A graduate degree in engineering with focus on data science and at least 3 years of professional engineering experience on progressively more complex projects in data science field obtained after receiving your P. Eng. Designation and a current licensure as a Professional Engineer with the Association of Professional Engineers and Geoscientists of Alberta (APEGA) complete with practicing status OR licensure and practicing status by the first day of work Click here for more details.
• Proficiency in ML/AI techniques for improving data quality and expertise in data exploration and feature engineering for AI/ML projects. Experience in model development, training, and evaluation, as well as implementing AI-driven data quality automation solutions, is considered an asset.

Pre-employment Requirements 

• Successful applicants must provide proof of qualifications.

Workstyle: This position may be eligible to work from home for at least part of the time as one of several flexible work options available to City employees. These arrangements depend on the operational requirements of the role, employee suitability, and are subject to change based on operational needs and corporate direction.

Note: Please note all exempt positions at The City are undergoing a compensation review. This means the union jurisdiction and/or salary range listed here may change. Tell me more

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Job Categories: Tech Jobs. Job Types: Full-Time. Salaries: Depends on Experience.

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