Data Engineer

Akkodis; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer in Toronto to design and implement frameworks for data collection and transformation. The ideal candidate will develop data infrastructure and maintain robust data pipelines, ensuring efficient data organization for business intelligence and analytics. Strong experience in data engineering, architecture design, and integration tools like Talend and Kafka is essential. Be part of a culture committed to Diversity, Equity, and Inclusion with various perks including competitive compensation and comprehensive wellness support.

Benefits

Competitive compensation with performance-based bonuses

Flexible benefits starting Day 1

RRSP matching and pension plan

Access to ongoing learning through Coursera

Comprehensive wellness support

Paid year-end closure and generous personal time off

Qualifications

• 7+ years of experience in data engineering.
• 4+ years in data solution architecture.
• Demonstrated expertise in various data integration tools.

Responsibilities

• Lead the design and implementation of complex data architecture.
• Build scalable, modern data pipelines with robust error handling.
• Collaborate with stakeholders to design data-driven solutions.

Skills

Data modeling

Data integration

Data governance

Orchestration

Communication

Education

Bachelor's degree in Software Engineering or Computer Science

Master's degree (asset)

Tools

Talend

Kafka

Azure Data Factory

Snowflake

SQL

Python

Power BI

Job description

Position Overview :

As a Senior Data Engineer, you will design and implement frameworks for data collection, extraction, and transformation of both structured and unstructured data. You will develop data infrastructure such as data warehouses and data lakes, creating efficient data access points. Utilizing tools like Kafka, Talend, MS SQL, Azure Data Factory, and more, you’ll build and maintain robust data pipelines.

You will play a key role in organizing data to support business intelligence, analytics, and application systems. This includes integrating data across the enterprise landscape to ensure consistent and timely delivery of information. You’ll be accountable for efficient architectural design and scalable system integration.

Location & Reporting :

• Based in Toronto
• Reports to : Manager, Data Engineering II

Key Responsibilities :

• Lead the design and implementation of complex data architecture and integration solutions across the full development lifecycle.
• Develop and evolve data service layers to deliver high-quality data offerings.
• Work with stakeholders to identify needs and design data-driven solutions, including prototyping and collaborative design sessions.
• Build scalable, modern data pipelines with robust error handling, monitoring, and alerting capabilities.
• Optimize database performance in collaboration with DBAs and perform ongoing monitoring.
• Analyze database entities and design efficient solutions based on system requirements.
• Ensure adherence to coding standards, documentation, testing protocols, and deployment procedures.
• Partner with data governance teams to build clear, reusable data lineage and architecture.
• Continuously evaluate new technologies and tools to enhance data operations and simplify architecture.

Qualifications :

• Bachelor’s degree in Software Engineering, Computer Science, or equivalent experience (Master’s degree is an asset)
• 7+ years of experience in data engineering with structured work processes
• 4+ years of experience in data solution architecture
• 4+ years of experience with data integration tools (e.g., Talend, Informatica, SSIS, DataStage)
• Demonstrated expertise in Snowflake, Talend, Kafka, ActiveBatch, Data Vault 2.0, WhereScape, Python, SQL, and Azure DataBricks
• Cloud experience with Azure (additional experience with AWS is a plus)
• Strong background in data modeling, integration, orchestration, and governance
• Capable of leading large-scale projects and effectively communicating with both technical and non-technical audiences

Nice-to-Have Skills :

• Knowledge of business intelligence, analytics, and reporting tools
• Experience building dashboards and data visualizations (e.g., Power BI, Collibra)
• Familiarity with DevOps practices and tools such as Git, Maven, Jenkins, GitLab
• Experience with automated testing and continuous integration / delivery workflows

What’s Offered :

• Competitive compensation with performance-based bonuses
• Flexible benefits starting Day 1, including choice of Health or Personal Spending Account
• RRSP matching and a defined contribution pension plan
• Access to ongoing learning through Coursera and educational assistance
• Comprehensive wellness support including virtual healthcare, EAP, and wellness programs
• A culture committed to Diversity, Equity, and Inclusion with employee groups, mentorship, workshops, and educational resources
• Paid year-end closure and generous personal time off (including religious, personal, and volunteer days)