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We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't

Sherweb

Specialist, Data Engineering

QC, Canada

Pay: A base salary ranging between 81 270$ and 116 100$ yearly
Job type: Full-time
Experience: Minimum of 4 years of experience in implementing data extraction, transformation and loading (ETL or ELT or ELTL) processes.
Posting language: English
Posted: Sep 23, 2026

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Original job description

Location: remote/Hybrid (Montreal/Sherbrooke)

Here's what we do and why we do it

We work to simplify the cloud for IT professionals so they can focus on what really matters, making their customers’ lives better. Find out how we do that here: www.sherweb.com/about/.

Here's how you will contribute to the success of the company

As a Specialist, Data Engineer,ing you’ll be responsible for designing, building and maintaining data systems using the Microsoft Fabric platform. Your tasks will include creating and managing data using a lakehouse, designing pipelines to copy data into the lakehouse and using Spark job definitions for batch and streaming jobs. You’ll work with tools like Azure Data Factory, PySpark notebooks, Spark SQL and Python to implement scalable and efficient data pipelines, covering data ingestion, transformation and loading processes.

Analyze and reconcile billing, subscription, and consumption data to identify anomalies, inconsistencies, and root causes of over- or under-billing, and support the definition of durable business rules to prevent recurring discrepancies.
Design and optimize the structure of databases and data lakes to store and organize a large volume of data.
Design and modify the necessary data model to support analytical needs of data representations and storage.
Implement processes for complex data extraction, transformation and loading.
Set up automation processes to facilitate data flows from various sources to the data warehouse and storage environment.
Prepare and integrate data feeding analytical solutions using the Microsoft Azure platform (Azure Data Factory, Azure Synapse, Azure Databricks, Azure SQL Database, Azure Storage).
Document the established data transformation rules.
Be responsible for managing costs related to usage and storage to maintain an optimized environment.

Here's what you need to have and master to get the job

Bachelor’s degree in Information Technology, Software Engineering, Computer Science, Master's degree in Business Intelligence or a relevant field for the role.
Minimum of 4 years of experience in implementing data extraction, transformation and loading (ETL or ELT or ELTL) processes.
Knowledge of the Microsoft Azure data platform (Azure Data Factory/Azure Synapse/Azure Functions/Databricks/Azure SQL Database/Azure Storage).
Knowledge of data modeling for a data warehouse.
Demonstrated experience with databases and SQL language.
Demonstrated experience in Python programming.
Experience performing data analysis or reconciliation on complex datasets (e.g., billing, finance, subscriptions, usage data) to detect anomalies and support root‑cause analysis.
Excellent oral and written communication skills in English and French.
Strong analytical and synthesis skills, result-oriented and customer service-focused.
Initiative-driven with good problem-solving abilities.

Benefits of working at Sherweb

Sherweb is, above all, an environment where the needs of our customers are at the heart of our actions. We are committed to living our values of passion, teamwork and integrity every day.

A fast-paced work environment that adapts to you

A friendly and diverse work culture with inclusion and equality at the heart of our actions
State-of-the art technology and tools
A results-oriented culture where talent, action, and thinking outside the box are given due recognition
Annual salary review based on performance
Generous and caring colleagues of various professional and cultural backgrounds

A flexible total compensation offer

A base salary ranging between 81 270$ and 116 100$ yearly
Vacation time that considers your previous experience
Advanced paid hours to recharge your batteries (holidays and mobile days)
Flexible benefits plan that adapts to your needs
Flexible savings fund option
A monthly home internet allowance

Considerable growth opportunities

A career path with opportunities to learn and grow
Proximity to your direct manager and open, honest communication to support your development
Multiple initial and on-the-job training opportunities and tools to track your progress and help you scale up in your career

Last but not least: “Sherweblife” - a rich calendar of activities that allow us to gather virtually and face-to-face throughout the year

At Sherweb, we believe in pay transparency and fairness. The salary range provided is intended to give an indication of what you might expect for this role. However, we recognize that each candidate brings a unique set of skills and experiences. As such, the final compensation package will be tailored to reflect the specific qualifications and expertise of the chosen candidate, ensuring that we remain competitive and equitable in our offerings.

Reasons for the requirement of English: Sherweb has international customers and fluency in English is the only way to ensure proper service delivery to them. The main tasks related to this position require written and oral communication with an English-speaking clientele at all times.

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More about this job

Responsibilities

Design, build, and maintain data systems and scalable pipelines using Microsoft Fabric and Azure tools, including lakehouse storage, batch and streaming jobs, and ETL processes. Analyze and reconcile billing, subscription, and consumption data to identify anomalies and root causes, document transformation rules, and optimize data models, storage, and costs.

Requirements

Requires a bachelor’s degree in a relevant field, with a master’s degree in Business Intelligence or a related field also mentioned, and at least four years of ETL/ELT implementation experience. Candidates should have experience with Azure data services, data warehousing and modeling, SQL, Python, and analysis or reconciliation of complex datasets, as well as strong English and French communication skills.

Skills

Microsoft Fabric
Data Engineering
ETL/ELT
Azure Data Factory
Azure Synapse
Azure Databricks
Azure SQL Database
Azure Storage
PySpark
Spark SQL
Python
SQL
Data Modeling
Data Analysis
Data Reconciliation
Data Pipeline Design

Benefits

Vacation Time
Paid Holidays
Mobile Days
Flexible Benefits Plan
Flexible Savings Fund
Monthly Home Internet Allowance
Training and Career Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Lakehouse
Azure Data Factory
Azure Synapse
Azure Databricks
Azure Functions
Azure SQL Database
Azure Storage
PySpark
Spark SQL
Python
SQL
ETL
ELT
Data Engineering
Data Pipelines
Data Ingestion
Data Transformation
Data Loading
Data Modeling
Data Warehouse
Data Lakes
Batch Processing
Streaming Jobs
Billing Data
Subscription Data
Consumption Data
Data Reconciliation
Anomaly Detection
Cost Optimization

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