Business Intelligence Engineer at Behavox Ltd

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, ETL, ELT, SQL, Data Transformation, Data Quality, Data Analysis, Business Intelligence, Looker, Cloud Platforms, AI Tools, Data Pipelines, Collaboration, Agile Methodologies, Dashboard Design, Stakeholder Engagement

Industry

Software Development

Description

About Behavox Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise. Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are. We are looking for fearless innovators who have an insatiable appetite for building what no one has built before. Your Role: We are seeking two skilled BI Engineers to establish our Business Intelligence function from the ground up. As founding members of a lean, high-impact team, you'll be responsible for the full spectrum of BI delivery - from extracting data from source systems to delivering insights through interactive dashboards. This is a hands-on role requiring both technical depth and business acumen, perfect for versatile professionals who thrive in building something new. AI-First Development Approach: At Behavox, we embrace cutting-edge AI tools like Claude and GitHub Copilot to accelerate development and innovation. You'll be working in a modern environment where AI assists in code generation, data analysis, and problem-solving, allowing you to focus on architecture, business logic, and delivering value at unprecedented speed. Why Join Behavox? Make Real Impact: Behavox combines the agility of a startup with the stability of a scale-up—your work will be visible and mission-critical. Growth Stage Product: Our platform is already proven in the market, with substantial room for innovation and evolution. Learn From Top Engineers: Work alongside highly experienced professionals who bring deep knowledge across data systems, finance, and cloud platforms. Engineering-Driven Culture: Technical excellence is central to our product vision and execution. Agile Teams: Contribute to tightly-knit, autonomous teams with a clear roadmap and fast feedback loops. What You'll Bring A genuine passion for Behavox's mission, with a clear connection to our marketplace, data-driven technologies, and vision. Proven experience building end-to-end data pipelines (ETL/ELT) from multiple sources using Python and modern orchestration frameworks. Hands-on experience designing business dashboards that influence decisions, ideally using Looker. A track record of success in collaborative, small-team environments, contributing to shared outcomes and cross-functional projects. Demonstrated learning agility - comfortable with cloud platforms (GCP preferred) and eager to explore AI-assisted development and analytics tools. What You'll Do Design and implement robust, end-to-end data solutions that enable analytics and insight generation. Develop and maintain production-quality SQL and Python code for data transformation and automation. Champion data quality and reliability, ensuring accuracy, consistency, and trust in core datasets. Collaborate with stakeholders to translate complex business requirements into scalable technical solutions. Continuously learn and adapt to emerging technologies, tools, and best practices in modern data engineering. What We Offer A truly global mission with a passionate, highly talented community across locations worldwide. The opportunity to make a significant impact and accelerate your learning as our bold ambitions demand innovation and ownership. A highly competitive cash compensation package. A flexible hybrid work schedule (Montreal office every Thursday). A generous time-off policy - 30 business days (6 weeks) of annual leave, additional 2 weeks of emergency or sick days, and all public holidays in your local geography. About Our Process We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment. During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies. The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers. Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible. Please note that: We want to get to know you and have a genuine conversation, so the use of AI tools or assistance during live interviews is strictly prohibited and will result in immediate disqualification from the process Interviews may be recorded for internal review purposes to ensure fairness and enable collaborative hiring discussions within the team.

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Responsibilities

Design and implement robust, end-to-end data solutions that enable analytics and insight generation. Collaborate with stakeholders to translate complex business requirements into scalable technical solutions.