This role is responsible for designing, building, and optimizing enterprise data pipelines that collect, transform, store, and prepare data for reporting, analytics, machine learning, and AI initiatives. The Data Engineer ensures data is reliable, secure, accessible, and ready for business intelligence and advanced analytics while working closely with analysts, data scientists, architects, and business stakeholders.

Key Responsibilities

Design and maintain ETL/ELT data pipelines.

Extract, transform, and integrate data from multiple sources (Oracle, SQL Server, SAP, APIs, flat files, etc.).

Build analytics-ready and AI-ready datasets.

Support machine learning and AI projects through data preparation, feature engineering, and validation.

Implement data quality, monitoring, auditing, and reconciliation processes.

Optimize SQL queries, Spark notebooks, Lakehouse/Warehouse tables, and pipeline performance.

Troubleshoot data issues and process failures.

Collaborate with business, analytics, and AI/ML teams to deliver scalable data solutions.

Evaluate AI-generated recommendations and analytics outputs before deployment.

Required Technical Skills

Strong experience with:

Python

PySpark

SQL

Stored Procedures





Data modeling and data analysis.

Data warehousing concepts.

Experience with:

SQL Server

Oracle

Azure Fabric Lakehouse/Warehouse

Understanding of Medallion Architecture.

Experience preparing datasets for machine learning and predictive analytics.

Preferred Skills

Microsoft Fabric

Data Engineering certifications

Data Governance and Data Quality frameworks

AI-assisted development tools (Microsoft Fabric Copilot)

Our Approach To Employee Wellness Is Holistic, Which Is Why Alongside Competitive Salaries, And Excellent Health And Dental Benefits, Corporate Employees Have Access To The Following:

Wellness amenities such as an onsite gym, fitness studio, and employee lounge

Group RRSP plan to take care of the future you

Onsite medical clinic and telemedicine

Daily shuttle bus from two downtown locations

Subsidized employee café with delicious meals and snacks

Future Electronics is taking a hybrid approach to work. We value collaboration and working together, which our offices facilitate, combined with working remotely.

Future Electronics is an equal chance employer.

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📌 Data Engineer (Quebec City)
🏢 Future Electronics
📍 Quebec City