Senior Data Engineer

Montreal, Quebec, Canada
Remote
Posted Sep 30, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week

Job summary

You will design and own the data foundation, including lakehouse architecture, ingestion pipelines, and curated datasets for analytics and AI products. Additionally, you will build data quality tooling, ensure production reliability, and mentor developers on engineering best practices.

Job details

As a Senior Data Engineer on the Analytics Platform, you will build and own the data foundation powering Novisto’s analytics, benchmarking, and AI products. You’ll design the lakehouse, data ingestion pipelines, and curated datasets while partnering with Tech Leads, Product Managers, and ESG Data Ops to turn raw operational data into reliable, well documented, query ready assets. The role combines hands on data engineering with strong software engineering practices, including data modelling, testing, CI/CD, version control, API and data contracts, and platform architecture, while balancing scalability, cost, freshness, and maintainability and mentoring developers on best practices. What you’ll build and own: Data Architecture & Lakehouse: Lead the design and evolution of Novisto's lakehouse, including storage layout, table formats, layering strategy, partitioning, and retention. Data Modelling & Ingestion: Model curated and semantic layers for analytics and reporting. Design batch, incremental, and CDC ingestion from all source modules, establishing clear data contracts. Pipeline Delivery & Execution: Build and operate robust ETL/ELT pipelines with clear ownership, dependency management, backfill strategy, and idempotent reprocessing. Contribute hands-on to transformation and orchestration codebases. Reliability & Observability: Build data quality tooling (schema validation, freshness/volume checks, automated regression tests) and platform observability (lineage, SLAs, alerting, cost telemetry). Own production health and incident response. Cross-functional Alignment: Write technical tickets to bridge functional intent and technical execution. Collaborate with Engineering Tech Leads and Principal Devs to ensure technical consistency, and mentor developers to grow data engineering capabilities across squads. Product Integration & Data Serving: Design and build the backend services and APIs that expose curated datasets to product modules. Implement multi-tenant data isolation, authentication and authorization (tenant scoping, row-level security), and serving patterns (query APIs, materialized views, caching) that meet product latency requirements. Core Requirements Experience: 6+ years of data engineering or backend engineering experience, with 2+ years in a senior or lead capacity. Bachelor's degree in Computer Science or equivalent. Core Skills: Expert-level SQL and strong proficiency in Python. Familiarity with cloud infrastructure (Azure, GCP), CI/CD, containerization, infrastructure-as-code, and DevOps practices. Data Tech: Proven experience designing and operating a production lakehouse or cloud data warehouse (Databricks, Snowflake, BigQuery) with open table formats (Delta, Iceberg, Hudi). Hands-on experience with transformation frameworks (dbt) and orchestrators (Airflow, Dagster, Prefect). Applied Knowledge: Solid grounding in dimensional and analytical data modelling. Experience with batch and streaming/CDC ingestion patterns, late-arriving data, schema drift, and backfills. Operational Mindset: Demonstrated ability to integrate AI-assisted development tools into workflows. Experience with architectural patterns (event-driven, service-oriented) in agile environments. Bonus: Experience with multi-tenant B2B SaaS, data-intensive applications, or ESG. What We Offer Impact: Advance Novisto’s mission to drive economic, environmental, and social sustainability through better ESG data management. Compensation & Equity: Stock option plan in an early-stage, well-financed company. Flexibility & Time Off: Remote-friendly flexible schedules, 4 weeks of vacation, and summer hours. Health & Wellness: 100% insurance coverage and access to Dialogue’s telemedicine app. If you prefer to work at the office, we have a beautiful office in Old Montreal, close to downtown and steps away from a metro (subway) station

What you’ll do

Requirements

Candidates must have 6+ years of data or backend engineering experience, including at least 2 years in a senior or lead capacity. A bachelor's degree in Computer Science or equivalent is required, along with expert-level SQL and Python proficiency.

Benefits

Stock option plan
Remote-friendly flexible schedules
4 weeks of vacation
Summer hours
100% insurance coverage
Telemedicine access

Listed skills

SQL · Preferred
CI/CD · Preferred
Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

SQL
Python
Data Engineering
Cloud Infrastructure
CI/CD
Containerization
Infrastructure-as-code
DevOps
Databricks
Snowflake
BigQuery
Delta
Iceberg
Hudi
dbt
Airflow
Environmental Social And Corporate Governance (ESG)
Social Sustainability
ESG Research And Analysis
Pipelines
ESG Data Management
Observability
Workflow Management
Apache Airflow
Snowflake (Data Warehouse)
Infrastructure as Code (IaC)
Application Programming Interface (API)
Agile Methodology
Artificial Intelligence
Architectural Patterns
Authentications
Automation
Microsoft Azure
Business To Business
Benchmarking
Google BigQuery
Customer Service
Software As A Service (SaaS)
Version Control
Computer Science
Data Architecture
Extract Transform Load (ETL)
Data Modeling
Data Quality
Data Warehousing
Programming Tools
Incident Response
Event-Driven Programming
Scalability
Python (Programming Language)

Job areas

Data & Analytics
Technology
Software
Engineering
Environmental & Sustainability
Data Engineer
Software Developers
Database Administrators