Data Engineer at Technical Standards & Safety Authority (TSSA)

About Us

The Technical Standards and Safety Authority (TSSA) is deeply committed to safety and passionate about making Ontario a safer place to live, work, and play. Our unified team - what we proudly call ONE TSSA – works collaboratively to deliver better safety for our province.

TSSA is a not-for-profit regulator that has dedicated over 25 years of expertise and experience to the safety of Ontario. Mandated by the Government of Ontario, TSSA’s team of over 450 professionals works to enhance public safety across multiple sectors we regulate.

As an award-winning organization, TSSA firmly embeds safety in our culture and all aspects of our work. Fostering a strong safety culture has earned us the 5-Star Safety Cultures Award from Canadian Occupational Safety magazine for three consecutive years (2022-2024).

As ONE TSSA we are guided by the following values in all we do:

• Safety: Be safety-focused at all times
• Collaboration: Work well with others
• Accountability: Take responsibility for our actions and deliver on our commitments
• Integrity: Conduct ourselves transparently using risk-informed evidence
• Inclusion: Embrace diversity through respectful leadership
• Innovation: Be forward-thinking, adaptable, and data-driven
  
  

Joining TSSA means becoming part of a team of experts from diverse fields, backgrounds, and cultures. It’s an opportunity to hone your skills, expand your knowledge, build a rewarding career, and realize your full potential

Position Summary

The Data Engineer supports the organization’s data and analytics initiatives by designing, building and maintaining data pipelines and models that enable high-quality, secure and accessible data for reporting, analytics and artificial intelligence. This role ensures the integrity and performance of data systems and contributes to the development of enterprise data architecture.

Job Responsibilities

• Develops and maintains data pipelines to extract, transform and load data from internal and external sources into analytic databases, enabling reporting and modelling across the organization.
• Identifies and documents data sources and ingestion methods to support operational and strategic data needs, ensuring alignment with business requirements.
• Models databases to support the integration of diverse data sets, enabling efficient storage, retrieval and analysis.
• Monitors and improves data quality by establishing metrics, performing profiling and cleansing, and collaborating with business units to remediate issues.
• Prepares datasets for business intelligence and artificial intelligence use, including semantic layers, curated tables and feature pipelines.
• Contributes to enterprise data architecture and modelling by providing input on structure, governance and integration strategies.
• Documents data lineage and pipeline processes to support transparency, compliance and ongoing maintenance.
• Provides guidance to peers and external collaborators on data organization, governance and reporting standards.
• Supports initiatives related to data classification, privacy, security and loss prevention.
• Other related or project duties may also be required.
  
  

Job Qualifications

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science or a related quantitative field.
• Minimum of four years’ experience in a quantitative or analytics role, with demonstrated ability to manage complex data environments.
• Strong skills in data modelling, pipeline development and integration using tools such as Python, Microsoft Azure, Fivetran, DBT, Knime and Dataiku.
• Experience preparing data for artificial intelligence and business intelligence applications, including feature engineering and semantic modelling.
• Knowledge of data governance, privacy and classification policies, with ability to apply them in practical settings.
• Proficiency in SQL and at least two relational database systems.
• Familiarity with scripting and programming languages such as R, Python and VBA.
• Demonstrated ability to work independently and exercise sound judgement in solving data-related problems.
• Strong communication and collaboration skills, with ability to explain technical concepts to non-technical audiences.
  
  

Inclusion and Equal Opportunity Employment

TSSA is an equal opportunity employer committed to diversity and inclusion. We are committed to building and maintaining collaborative, caring and positive work environments so that our employees bring their whole selves to work each and every day. We encourage all qualified applicants to apply without regard to race, national or ethnic origin, colour, religion, age, sex, sexual orientation, marital status, family status or disability. Only those selected for an interview will be contacted.

TSSA is pleased to offer accommodations for applicants with disabilities. If you are interested in applying for a job opportunity, or are contacted by us regarding a job opportunity, please advise of any accommodations you may require.

This job posting is for an existing vacancy within TSSA. We are actively seeking a qualified candidate to fill the current position. We encourage all interested applicants to apply.

TSSA uses AI to support screening of pre-screening question responses. Even if an application is flagged by the system, our team endeavours to review all candidates’ qualifications and experience.