BI Data Engineer

BI Data Engineer

Full stack engineer for BI / Reporting solution

Location: Markham, ON (Hybrid)

Employment Type: Full-Time

Department: Business Intelligence / Data Analytics

Reporting To: Director, BI / Analytics

Seniority Level: Intermediate (2–5 years)

Compensation & Role Details:

Expected Salary Range: The expected base salary range for this role is between $100,000 – $115,000 CAD, depending on experience and qualifications

Role Type: New Role

AI Disclosure: AI may be used during the hiring process.

Role Overview

We are seeking a BI Data Engineer to design, build, and optimize BI assets — dashboards, reports, and semantic data models — primarily in AWS QuickSight on top of SQL-based datasets. This is a hands-on BI role that involves building data models, data pipelines and a web presentation layer. Your day is spent turning business ask into governed, performing dashboards and reports served through web application and build / maintain SQL models behind them. Key Responsibilities

BI Solution Development

Build interactive QuickSight dashboards (parameters, controls, calculated fields).

Implement data visualizations that clearly communicate business insights.

Apply security and data-governance standards across BI assets.

Data Analysis & Modeling

Write and optimize complex SQL for extraction, transformation, aggregation and performance tuning.

Design semantic layers and curated datasets aligned to reporting needs.

Monitor and troubleshoot BI solutions for accuracy, performance, scale and efficiency.

Data Pipeline Engineering

Contribute to data acquisition, wrangling, shaping and validate data quality and lineage for reporting.

Orchestrate and manage data shaping jobs that run in Cloud to maintain a high quality data model

Web Application Upkeep & Maintenance

Application layer built with OAuth, Node.JS, Express.JS, MongoDB, SQL and.NET

Must-Have Qualifications

2–5 years in a BI / reporting development role.

Strong SQL: complex joins, window functions, CTEs, aggregations, and query performance tuning.

Strong data wrangling, pipeline and basic web development skills. Experience with.NET, Java Script, Python and CSS.

Good understanding of data warehousing and dimensional modeling (star schemas, semantic layers).

Good AWS QuickSight experience. Knowledge of parameters, controls, calculated fields and dataset design.

Hands on AWS Cloud experience. Knowledge of AWS data services: S3, Lambda and IAM basics.

Hands on experience with Git and typical development workflows.

Comfortable with work needed to improve data quality & produce reports users can rely on

Good communication skills.

Nice-to-Have Skills

Maintaining web application, fixing defects and testing fixes

Experience with Google charts API

Building and maintaining API layer for data acquisition and data services

Automating data jobs that can run at scale

Experience delivering email digests, Narrative summaries that go beyond classic reports, dashboards, analytics

Knowledge of SPICE and row-level security

Experience using AI tools to accelerate development

Experience with Mongo DB

Experience with Docker and container deployments

Experience with Service Bus

Experience with pandas Data Frames

End to end experience going from data acquisition through presentation layer in a production setting

Data governance exposure (cataloging, lineage, definitions)

Continuous integration / Continuous Delivery (CI/CD) for BI assets.

Knowledge of BI solutions like Power BI, Looker

Knowledge of Data lake / Data warehouse solutions like Snowflake, DataBricks

Experience automating QA

Experience with build tools like Jenkins

Experience with Cloud Ops, Dev Ops and automation

Experience building prediction models

Building interactive chat type solutions over existing data assets

Best Visualization practices and UX for analytics

Key Competencies

Data Storytelling: Translates complex data into clear visuals and narratives.

Fast Learner: Curious and fast paced learner that can adapt to change;

Bias for Action: Ships iteratively, validate quickly and improve continuously.

Quality & Accuracy: High attention to detail; strong testing discipline. Security consciousness

Customer Focus: Collaborates with business partners to understand and deliver high-value insights.

Ownership & Scope Discipline: Proactive in monitoring and support; comfortable owning BI/reporting deliverables

Jonas Software is a leading provider of enterprise management software solutions, serving a wide range of vertical markets including hospitality, healthcare, construction, education, personal care, fitness, leisure, moving and legal services, to name a few. Within these markets, Jonas is comprised of over 65 distinct brands, each a respected leader in its domain.

Jonas’ vision is to be the branded global leader across these verticals and to be recognized by customers and industry stakeholders as the trusted provider of “Software for Life.” We are committed to technology, product innovation, quality, and exceptional customer service.

Jonas Software supports over 60,000 customers in more than 30 countries. We employ over 6,000 skilled professionals, including industry experts and technology specialists. Across our broader network, we support a global workforce of more than 30,000 employees.

Headquartered in Canada, Jonas Software has a global footprint with offices around the world. We’re a 100% owned subsidiary of Constellation Software Inc., based in Toronto, publicly listed on the TSX (CSU.TO), and a member of the S&P/TSX 60 Index.