AI Data Engineering

ELITS Canada Inc. is a subsidiary of Accelerate at Iver. Our parent company Iver has 1,700 employees today and is growing and now we are looking for new employees who want to join our journey. As part of Accelerate at Iver, you are at the absolute forefront of technology and work on exciting digitization and transformation projects with market-leading customers. We are passionate about realizing digital opportunities in the cloud. Together with our customers, we close the gap between aspiration and successful implementation. Communication is an essential part of the work since we work closely with our customers. As an employee at ELITS you will become a part of a great team that always responds to the customer with humility, and at the same time is very proud of what we deliver.

ELITS is now looking for an AI Data Engineer for our operations in Montreal.

About this position

As an AI Data Engineer, you’ll design, build, and maintain data pipelines that empower machine learning and analytics across the organization. You’ll collaborate with Data Scientists, AI Engineers, and business stakeholders to deliver clean, reliable, and scalable data infrastructure, ensuring seamless flow from raw sources to production systems.

Key Responsibilities

- Develop, deploy, and maintain robust ETL/ELT pipelines for machine learning workloads.
- Automate data ingestion, transformation, and delivery across multiple environments (cloud and on-premise).
- Ensure data quality, integrity, and security for AI/ML models and analytics platforms.
- Collaborate cross-functionally to gather requirements and optimize workflows.
- Monitor and troubleshoot pipeline performance, addressing issues promptly.
- Integrate data sources (APIs, databases, files) and enable downstream analytics and machine learning.
- Document architectures, data lineage, and operational procedures for transparency and reproducibility.
- Maintain data infrastructure with regular upgrades and preventative maintenance.

Requirements

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 3+ years of experience building data pipelines and supporting data infrastructure in AI or analytics environments.
- Proficient with Python, SQL, and at least one workflow automation tool (e.g., Airflow, Luigi).
- Experience with big data platforms (Databricks, Spark, Hadoop) and cloud data services (AWS, Azure, GCP).
- Strong understanding of ETL/ELT concepts, data warehousing, and schema design.
- Familiarity with DevOps/CI-CD, version control (Git), and infrastructure-as-code.
- Commitment to best practices in data quality, documentation, and operational support.

Preferred

- Experience integrating ML workflows with data pipelines.
- Prior exposure to real-time data streaming (Kafka, Kinesis).
- Knowledge of security and compliance in large-scale data operations.

Qualities

- Communicative and a positive attitude towards customers and colleagues
- Analytical skills, logical reasoning, and excellent problem-solving skills
- Sense of responsibility, autonomy, and resourcefulness
- Team player, organized, and strive for results and quality
- Creative with ideas to improve the product
- Ability to coordinate and handle more than one task at the same time
- Being proactive

Are you a social, flexible, and structured person with a great interest in information technology? Do you find development, constructing, and use of the latest technologies challenging? In that case – send your application to us today

This position is open to Canadian residents (persons with work permit in Canada).

ELITS - Accelerate at Iver

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