Senior Data Analytics Developer

TL;DR Transform complex ERP data into event-sourced, enterprise-grade semantic data models using our proprietary methodology and AI-augmented tooling. You own the technical bridge between business requirements and data architecture. Hybrid in our Montreal office (Tues–Thurs). The Mission Maxa AI has solved the hard technical problem: transforming fragmented ERP data into CFO-trusted insights in weeks instead of months. We have the product, methodology and the technology. What we need: Analytics Engineer who owns the technical heart of our delivery process, and who seeks to blend data engineering, analytics engineering, and software development responsibilities This is not a standard dbt shop role. You will work directly with customers during structured discovery workshops, validate detailed technical specifications with cross-functional partners, build data models that span dimensions, hierarchies, measures, and event timelines, and contribute to a shared pattern library that compounds our delivery intelligence with every engagement. And here’s where it gets even more interesting: we’re building an AI-augmented data engineering platform. As an AE at Maxa, your role will evolve from writing SQL to teaching AI agents to build out data models. From building pipelines to architecting the system that builds pipelines. Every intervention you make today becomes training data for tomorrow’s automation. What You'll Do You'll build the crucial bridge between technical and business by: Translate validated technical specifications into a unified business data model: using dbt on Snowflake. Ensuring robust data infrastructure and delivering actionable insights to business stakeholders. Optimizing SQL queries in Snowflake to maximize performance. Participate in technical specification walkthroughs with Business Analysts and Business Data Analysts, validating feasibility and completeness before development begins. Implement and validate business rules: harmonization logic, metric calculations, and exception handling. Contributing to the continuous improvement of our proprietary data model. Working closely with our cross-functional teams: Delivery Managers, Business Analysts, Business Data Analysts, Business Intelligence. Scale Through Continuous Improvement Capture reusable patterns in our shared library: entity definitions, event flows, common ERP table mappings, and resolution heuristics from past engagements. Experiment boldly with AI and automation and find the workflows that 10x delivery speed Obsess over the metrics that matter: cycle time per entity, first-pass quality rate, control total accuracy, pattern library reuse rate. You're the Right Person If... Must-Haves ✅ You have 3-5 years of experience in data modeling, serving business purposes (ERP systems experience is a great asset!) ✅ You master dbt and are passionate about its possibilities. ✅ You're strong with SQL and Git, and knowledgeable about Python ✅ You have a deep understanding of software development best practices ✅ You can bridge the gap between business needs and technical solutions ✅ You communicate proactively, in both English and French ✅ You're curious and not afraid to test new approaches Superstar Differentiators 🚀 Event sourcing or temporal modeling: You’ve worked with immutable event logs, change data capture, slowly changing dimensions, or similar patterns and understand why they matter for auditability and time-series analysis. 🚀 AI/LLM curiosity in practice: You’ve experimented with AI-assisted development, prompt engineering, or agentic workflows, not just talked about it. 🚀 You translate in both directions flawlessly: C-level language → technical specs, AND technical constraints → business implications 🚀 You obsess over operational excellence: you see patterns across projects and ask "how do we standardize this?" What We Offer Competitive base salary (aligned to seniority; this is a newly created role) 4 weeks vacation year one, 5 weeks thereafter RRSP contribution after 3 months On-site chef: three-course lunches for $12 Stock options in a post–Series A high-growth AI company Define delivery standards for enterprise AI We care about capability and curiosity, not résumé perfection. You might not be ticking every box? Apply anyway! 🚀Passion and curiosity go a long way! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

You will transform complex ERP data into enterprise-grade semantic data models using dbt and Snowflake while bridging the gap between business requirements and technical architecture. Additionally, you will contribute to a shared pattern library and experiment with AI-augmented workflows to automate data pipeline development.

Candidates must have 3-5 years of experience in data modeling with strong proficiency in SQL, Git, and dbt. Excellent communication skills in both English and French are required to effectively translate business needs into technical specifications.

• 4 weeks vacation • RRSP contribution • On-site chef • Stock options

Identified from the job description. Confirm important requirements above.

• Data modeling
• Dbt
• SQL
• Git
• Python
• ERP systems
• Snowflake
• Data engineering
• Analytics engineering
• Software development
• Event sourcing
• Temporal modeling
• Prompt engineering
• Business analysis
• Data architecture
• Slowly Changing Dimensions
• Time Series Analysis And Forecasting
• Change Data Capture (CDC)
• Prompt Engineering
• Pipelines
• ERP Systems Knowledge
• Workflow Management
• Curiosity
• Git (Version Control System)
• Snowflake (Data Warehouse)
• Bilingual (French/English)
• AI Agents
• C (Programming Language)
• Artificial Intelligence
• Software Development
• Teaching
• Automation
• Business Intelligence
• Business Requirements
• Continuous Improvement Process
• Cycle Time Variation
• Data Architecture
• Data Engineering
• Data Infrastructure
• Data Modeling
• Enterprise Resource Planning
• Exception Handling
• Experimentation
• Python (Programming Language)
• Operational Excellence
• SQL (Programming Language)
• Timelines
• Tooling
• Writing

• Data & Analytics
• Software
• Technology
• Engineering
• Consulting
• Data Analytics Developer
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists

Minimum experience

2+ years

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week