Role Overview
Project X is hiring a mid-level Data Engineer/ Consultant. This is a full-time hybrid role, based in CA. Part of Project X's Data Engineering hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Company: Project X Ltd.
Employment Type: Full Time
Location: Toronto, Ontario (Hybrid working model) 3 Working days in Office
Salary Range: $86,00- 125,000 CAD Annually
Please note: We have two of the same postings as we have two open positions, please only apply to one posting.
About Project X Ltd.
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done.
Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great.
Role Summary
We’re looking for a passionate and curious Data Engineer with strong Python skills and solid experience working with large-scale data solutions. You’ll play a key role in building high-quality, reusable ETL patterns and automating robust, scalable data pipelines that power analytics and business decision-making. Experience with Matillion ETL or Project X’s Data Pipeline Control (DPC) framework is a plus, and exposure to generative AI (GenAI) tools or techniques is considered an asset.
Key Responsibilities
- Develop, deploy, and maintain data pipelines using Python and tools such as Matillion ETL or DPC.
- Collaborate with data architects and analysts to define and meet data integration requirements.
- Translate mapping documents into production-ready data workflows.
- Ensure data integrity by implementing quality checks, handling errors, and performing root cause analysis.
- Apply tiered architecture design patterns (bronze/silver/gold models) to pipeline development.
- Create or maintain metadata and control structures for visibility and traceability.
- Work with cloud-based data warehouses (e.g., Snowflake, Azure Synapse, Redshift).
- Participate in Agile processes, including sprint planning and reviews.
What We’re Looking For – Required Qualifications
- 2+ years of hands-on experience in data engineering with a focus on Python-based development.
- Experience with ETL development (Matillion, DPC, or other orchestration tools).
- Strong SQL skills and ability to work with structured and semi-structured data.
- Familiarity with cloud data platforms such as Snowflake, Azure, or AWS.
- Understanding of data quality practices, error handling, and recovery strategies.
- Ability to interpret mapping documents and accurately implement logic.
- Experience with version control (e.g., Git) and CI/CD pipelines is a plus.
- Bonus: Exposure to GenAI, LLMs, or machine learning workflows.
Nice to Have
- Experience in data modeling, data governance, or metadata frameworks.
- Knowledge of data observability tools or building monitoring dashboards.
- Familiarity with orchestration tools like Airflow or transformation tools like dbt.
- Consulting experience or comfort working in fast-paced, client-facing environments.
Use of Artificial Intelligence in Recruitment
Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.
Employment Equity, Accessibility & Accommodations
Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.
Privacy Notice
Personal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.
How to Apply
Please apply with your resume and cover letter.
Original job Data Engineer/ Consultant posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
Frequently Asked Questions
How do I apply for the Data Engineer/ Consultant position at Project X?
Use the Apply button above to submit your application directly to Project X. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Data Engineer/ Consultant role at Project X remote or in-office?
This is a hybrid role based in CA. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a Data Engineer/ Consultant at Project X earn?
Project X has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Engineer/ Consultant role at Project X posted?
This role was posted on April 1, 2026 (67 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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