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Added 1 min ago
Information Security Compliance Specialist
Docebo
Remote, Canada
$98,300 to $131,000 CAD / year
Full-time · Remote
As our Information Security Compliance Specialist, you will be the front-line champion and strategist safeguarding Docebo's security posture and driving customer trust. You will bridge the…
Added 1 min ago
Operations Manager (70309762)
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Full-time
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Added 1 min ago
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Added 1 min ago
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Contract
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Added 16 mins ago
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Added 32 mins ago
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OSL Retail Services Inc

Data Engineer

5090 Orbitor Drive, Unit 1, Mississauga, ON, L4W 5B5, Canada

Pay: The salary for this role is $65K to $90K.
Apply by: Sep 23, 2027
Posting language: English
Posted: Sep 23, 2026

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Original job description

Overview

At OSL Retail Services, we believe people are the heart of everything we do, and it is an exciting time to be part of something special! Our momentum is growing, and is fueled by innovation, collaboration, and a shared entrepreneurial spirit that drives real results. Founded in 2012 in Mississauga, Ontario, OSL delivers customized sales solutions in retail, direct sales, and customer acquisition, all built on a foundation of integrity, respect, and passion. Our culture thrives on connection, purpose, and growth. If you’re looking for a place where your talents are valued, your ideas matter, and your career can grow, we’d love to meet you.

About the opportunity: 12-month contract

Reporting to the Manager, Data Systems, the Data Engineer is responsible for developing and maintaining business intelligence solutions, crafting, and executing queries up request for data and presenting information through reports and visualization. OSL Retail Services is a collaborative, fast paced and innovative company, to be successful in this role you must thrive in a fast-moving, ever-changing environment.

Location: Mississauga (CANADA)

What you’ll do:

Translate business needs into technical specifications, working directly with stakeholders.
Design, build, and automate data flows that land data from varied sources (APIs, SaaS platforms, flat files, operational databases) into Postgres, handling incremental loads, deduplication, and schema drift.
Move and model data into our warehouse and build the analytical structures on top of it (OLAP cubes, semantic models) that let stakeholders’ self-serve.
Maintain and support our existing data workflows and reporting.
Write and optimize complex SQL and run the analyses that answer questions directly.
Unit-test your pipelines and troubleshoot failures by reading and interpreting error logs.
Collaborate with engineering, analytics, and business teams on system integrations.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent organizational skills
Strong written and verbal communication skills

What you’ve done:

Proven experience as a Data Developer, analyst, engineer, or Data Scientist
Background in data warehouse design, dimensional modeling, and data mining
In-depth understanding of database management systems and ETL (Extract, Transform, Load) frameworks.
Experience with Apache Airflow and Spark
Experience with RDBMS i.e., creating complex SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
Knowledge of and experience with different data sources (SQL and NoSQL), programming (Python or R), XML, REST API and JavaScript,
Experience and comfort working with open-source tooling.
Linux OS background would be an added advantage.
Analytical mind with a problem-solving aptitude
BSc/BA in Computer Science, Engineering, or relevant field and or relevant knowledge with experience
Familiarity with data visualization tools
Proven abilities to take initiative and be innovative and collaborative.
Positive and supportive tone, attitude, and work ethic

The salary for this role is $65K to $90K. Your final compensation will reflect your years of experience and beyond the numbers, we’re proud to offer a holistic package that includes:

Award-winning culture: Proud to be one of Canada’s Best Managed Companies for 8 years running - now a Platinum Club member.
Invested in you: Structured employee development programs designed to help you thrive.

Interview Steps:

Step 1: If your profile is a match, we will invite you for a first conversation with the recruiter.
Step 2: The next step is an in-person interview with the hiring manager.
Step 3: The final step is an in-person interview with the hiring manager and extended team.

If this sounds like you and you’re excited to be a member of our team, please apply now.

We thank all interested applicants; however, only qualified candidates will be contacted. This position requires successful completion of a criminal background check.

Disclaimer: As part of our recruitment process, we utilize artificial intelligence (AI)-based tools to assist with certain stages, including initial resume screening and skills-matching assessments. These tools are designed to help our hiring team identify candidates whose experience and qualifications align closely with the requirements of the role. Please note that all final hiring decisions are made by our recruitment team. The preceding job description has been designed to indicate the general nature and level of work performed by employees within this job. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. In compliance with Ontario’s Bill 190, we confirm that this posting represents a current existing vacancy within our organization.

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More about this job

Responsibilities

Develop and maintain business intelligence solutions, data pipelines, warehouse models, and reporting, integrating data from APIs, SaaS platforms, files, and operational databases. Translate stakeholder needs into technical solutions, optimize SQL and analyses, test and troubleshoot workflows, and collaborate with engineering, analytics, and business teams.

Requirements

Candidates should have experience in data development, analytics, engineering, or data science, with knowledge of data warehousing, dimensional modeling, database systems, and ETL. The posting also seeks experience with Airflow, Spark, SQL and reporting tools, programming or scripting, varied data sources, and data visualization; a relevant degree or equivalent experience is noted.

Skills

Data Engineering
SQL
Python
R
Apache Airflow
Apache Spark
PostgreSQL
Data Warehousing
Dimensional Modeling
ETL
SSRS
SSIS
REST APIs
Data Visualization
Data Pipeline Testing
Linux

Benefits

Employee Development Programs
Award-Winning Company Culture

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Data Engineering
Data Pipelines
PostgreSQL
Data Warehouse
OLAP Cubes
Semantic Models
SQL
ETL
Apache Airflow
Apache Spark
SQL Server Reporting Services
SQL Server Integration Services
Python
R
REST APIs
XML
JavaScript
SQL Databases
NoSQL Databases
Data Visualization
Dimensional Modeling
Data Mining
Incremental Loads
Data Deduplication
Schema Drift
Unit Testing
Linux
SaaS Platforms
Open-Source Tools

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