Senior Data Engineer
LocationHead Office , Montreal
Work modehybrid
Typefull-time
SenioritySenior
Experience6+ yrs
DepartmentR&D
EquityIncluded
Company size51–200 people
PostedSep 28, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
6+ years of data engineering or backend engineering experience
2+ years in a senior or lead capacity
Bachelor's degree in Computer Science or equivalent
Expert-level SQL
Strong proficiency in Python
Familiarity with cloud infrastructure (Azure, GCP)
Familiarity with CI/CD, containerization, infrastructure-as-code, and DevOps practices
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)
Solid grounding in dimensional and analytical data modelling
Experience with batch and streaming/CDC ingestion patterns, late-arriving data, schema drift, and backfills
Demonstrated ability to integrate AI-assisted development tools into workflows
Experience with architectural patterns (event-driven, service-oriented) in agile environments
Experience with multi-tenant B2B SaaS, data-intensive applications, or ESG
Skills
SQL
Python
Azure
GCP
Databricks
Snowflake
BigQuery
Delta
Iceberg
Hudi
dbt
Airflow
Dagster
Prefect
CI/CD
containerization
infrastructure-as-code
DevOps
Benefits
Stock option plan
Remote stipend
Flexible schedule
Unlimited PTO
Health insurance
Telemedicine
About the role
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:
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Data Architecture & Lakehouse: Lead the design and evolution of Novisto’s lakehouse, including storage layout, table formats, layering strategy, partitioning, and retention.
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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.
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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.
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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.
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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.
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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
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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.
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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
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Impact: Advance Novisto’s mission to drive economic, environmental, and social sustainability through better ESG data management.
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Compensation & Equity: Stock option plan in an early-stage, well-financed company.
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Flexibility & Time Off: Remote-friendly flexible schedules, 4 weeks of vacation, and summer hours.
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Health & Wellness: 100% insurance coverage and access to Dialogue’s telemedicine app.
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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