Data Engineer, Eleks

Eleks; Montreal; On-site; CAD 98,000 - 140,000; Full time

Job summary

A dynamic technology firm in Montreal is seeking a Data Engineer to join their Data & Analytics team. The successful candidate will design and optimize data pipelines, build cloud-native solutions, and enable advanced analytics for global clients in finance and healthcare. The role requires 3+ years of experience, strong SQL and Python/Scala skills, and hands-on experience with ETL frameworks. Salary range is CAD 98,000-140,000.

Benefits

Close cooperation with a customer

Challenging tasks

Competence development

Ability to influence project technologies

Team of professionals

Dynamic environment with low level of bureaucracy

Qualifications

• 3+ years of experience in data engineering/software engineering.
• Strong skills in SQL + Python/Scala.
• Hands-on experience with ETL frameworks (Airflow, dbt, Spark).
• Cloud expertise (AWS, Azure, or GCP).

Responsibilities

• Design, implement, and maintain scalable ETL/ELT data pipelines for structured and unstructured data.
• Develop and optimize data models and schemas for analytics and reporting.
• Collaborate with cross-functional teams to integrate data from multiple sources.
• Ensure data quality, security, and governance.
• Support cloud-based data warehouses/lakes.
• Automate workflows and build monitoring solutions.
• Partner with data scientists to enable advanced analytics.

Skills

SQL

Python

Scala

ETL frameworks (Airflow, dbt, Spark)

Cloud expertise (AWS, Azure, GCP)

Job description

Overview

ELEKS is looking for a Data Engineer at Montreal, Canada, to join our growing Data & Analytics team. You’ll design and optimize data pipelines, build cloud-native solutions, and enable advanced analytics for leading global clients in finance, healthcare, and beyond.

Salary range – CAD 98 000-140 000

Requirements

• 3+ years of experience in data engineering/software engineering
• Strong skills in SQL + Python/Scala
• Hands-on experience with ETL frameworks (Airflow, dbt, Spark)
• Cloud expertise (AWS, Azure, or GCP)

Responsibilities

• Design, implement, and maintain scalable ETL/ELT data pipelines for structured and unstructured data
• Develop and optimize data models and schemas for analytics and reporting
• Collaborate with cross-functional teams to integrate data from multiple sources (internal systems, APIs, cloud platforms)
• Ensure data quality, security, and governance by implementing validation, monitoring, and access controls
• Support cloud-based data warehouses/lakes (e.g., Snowflake, Databricks, BigQuery, Redshift, Azure Synapse)
• Automate workflows and build monitoring solutions for pipeline health and performance
• Partner with data scientists to enable advanced analytics and machine learning use cases

What you will get with ELEKS

• Close cooperation with a customer
• Challenging tasks
• Competence development
• Ability to influence project technologies
• Team of professionals
• Dynamic environment with low level of bureaucracy