---
title: 'Data Engineer at RAVL'
canonical: 'https://feeny.ai/job/data-engineer-ravl-toronto-v6xrp5gtpsqe'
type: 'job'
last_seen: '2026-09-08'
---

# Data Engineer at RAVL

- **Company:** RAVL
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-01-28
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/ravl_io/9e942ef6-d1c4-4404-84b7-de6cd6c94b21

## Job description

RAVL helps technologists accelerate their careers.

At RAVL, we connect strategy with execution, care deeply about the people we work with, and measure success by the lasting impact we leave behind. Our purpose is to build a team that puts real, sustainable business outcomes at the core of everything we do.

We’re here to leave our clients better than we found them, and to create a place where our people are proud to Build. Better.

As a Data Engineer at RAVL, you’ll design, build, and operate the data pipelines and platforms that power decision-making for modern organizations. You’ll bring curiosity, technical depth, and a delivery-first mindset — transforming raw data into reliable, high-quality assets that enable insight, analytics, and machine learning. You’ll work across cloud environments, designing data systems that are resilient, secure, and built for scale.

What success looks like in this role

- Design and build robust, scalable ETL/ELT data pipelines using modern frameworks and cloud-native tooling
- Develop data models and architectures that enable efficient analytics and reporting
- Implement data ingestion, transformation, and quality checks across multiple sources and domains
- Leverage cloud services (AWS, Azure, or GCP) to design secure, cost-efficient, and maintainable data systems
- Work closely with platform and software engineers to integrate data flows into broader application ecosystems
- Ensure observability, reliability, and governance across pipelines and data products
- Collaborate with analysts, architects, and stakeholders to translate business requirements into technical data solutions
- At higher levels: mentor peers, contribute to data architecture decisions, and influence standards across teams

Sounds great, but do my skills fit?

- You’ll thrive in this role if you bring:
- Strong experience designing and maintaining data pipelines using tools like Spark, Airflow, dbt, or similar
- roficiency in SQL and one or more programming languages (Python, Java, or Scala)
- Hands-on experience with cloud data ecosystems — AWS (Glue, Redshift), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).Understanding of modern data warehousing, streaming, and lakehouse architectures
- Experience with CI/CD for data workflows and version-controlled transformations
- Familiarity with data governance, cataloging, and security best practices
- Consulting excellence: communicates clearly, delivers visibly, and adapts to evolving business contexts

Mindset Traits

- Delivery-first – focuses on reliable, incremental progress toward business outcomes.
- Structured and curious – thrives on understanding how data flows and enables value.
- Collaborative – partners with cross-functional teams to align data and engineering efforts.
- Influential – able to drive data quality and design conversations with technical and business peers.

Technical Skills

- Languages: Python, SQL, and optionally Java or Scala
- Data Processing & Orchestration: Spark, dbt, Airflow, Kafka, or similar frameworks
- Cloud Platforms: AWS, Azure, or GCP (at least two preferred)
- Data Storage & Warehousing: Snowflake, Redshift, BigQuery, Databricks, Delta Lake
- CI/CD & Automation: GitHub Actions, Jenkins, or Azure DevOps for data workflows
- Security & Compliance: IAM, encryption, access control, and secure data handling

Why join RAVL?

- Flexible, client-aligned work model — autonomy with accountability, adapting to client delivery needs.
- Variable bonus & RRSP contributions tied to performance and delivery impact.
- 4 weeks paid time off (plus public holidays).
- Paid professional development days and continuous learning opportunities.
- Comprehensive health & dental coverage, including mental health support.
- Commitment to lifelong learning — continuous improvement through training, mentorship, and certification.

## Compensation & hiring process

We are recruiting for a future opportunity. The salary range for this role is $100,000–$150,000 CAD, reflecting expected base pay. Total compensation may also include additional pay such as bonuses or incentives, depending on the position, and final offers are based on experience, skills, and qualifications. As part of our hiring process we may use technology, including AI-based tools, to help summarize and assess applications; these tools assist our team and do not replace human review or decision-making.

## Equal Opportunity & Accessibility

RAVL is an equal opportunity employer committed to building a diverse, inclusive, and accessible workplace. We welcome applications from all qualified individuals and provide accommodations throughout the hiring process upon request.

## About RAVL

## Company Overview
- **One-liner**: RAVL is a boutique advisory and engineering firm that helps North American financial services institutions build better technology through full-stack product development, AI modernization, cloud platform engineering, and DevSecOps.
- **Entity Type**: Private (Partnership; venture-backed with a 2025 round led by MML Capital Partners)
- **Headquarters**: Toronto, Ontario, Canada (East York; 6 Annesley Avenue, M4G 2T6), with a presence in the United States
- **Founded**: 2022
- **Founders**: Founded by four partners; leadership includes Rick Davidson (Chief Executive Officer), Dominic Wallace (Chief Technology Officer), Sean Quinn (Chairman), and Ryan Kehl (Partner)

## Core Business
- **Primary industries**: IT Services and IT Consulting; specialized in Financial Services technology (FSI)
- **Target customers**: Enterprise financial services institutions in North America (banks, insurers, capital markets firms), plus organizations undertaking legacy modernization, cloud transformation, and AI adoption
- **Mission or purpose statement**: "To be a true partner to our clients by building better technology that drives meaningful, long-lasting business outcomes." (Byline: "RAVL Builds. Better.")

## Products & Services
RAVL operates across three core delivery models plus an AI-focused methodology:

- **Advise (Strategize & Solution)**: Architecture design, business/technology capability mapping, business casing, cost optimization, customer journey mapping, governance, operating models, process improvement, technical assessments/root-cause analysis, technology selection, and technology strategy & roadmaps.
- **Build (Engineer & Deliver)**: Solutions architecture, cloud engineering, DevSecOps, platform engineering, Site Reliability Engineering, application development, AI & Machine Learning, and Infrastructure as Code.
- **BuildX (Sustain. Upskill. Empower.)**: Outcome-based delivery where clients can hire a subset of the RAVL team to extend the engagement. Combines cloud/platform engineering, software engineering, mentorship, and hands-on learning journeys.
- **AI / Leap Left (AI-first SDLC)**: RAVL's approach to AI-first software development lifecycle — aligning people, workflows, governance, and engineering systems to accelerate delivery while managing everything surrounding code creation.

Technical specialties include: full-stack digital product development, AI systems modernization (legacy-to-modern platform transformation), microservices & APIs, DevSecOps & developer experience, cloud platforms & tooling, and site reliability engineering.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding — venture round announced 2025-01-24, with 1 investor, led by MML Capital Partners; specific amount not publicly disclosed
- **Notable Investors/Partners**: MML Capital Partners (lead investor)
- **Growth Signals**: 
  - Headcount grew ~45.9% YoY (+34 employees, from ~54 to 88)
  - Monthly headcount growth at time of data: +3.8%
  - LinkedIn followers grew +32.9% yearly, to ~4,140
  - 22 active job postings (quarterly job posting trend: +57.1%)
  - Acquired New Helio, expanding capabilities
  - Workforce distributed across Canada (86) and the United States (2), with deep hiring from top consultancies and financial institutions (CGI, Capco, TD, Scotiabank, McKinsey & Company, Slalom)

## Competitive Advantages
- **Deep FSI domain fluency**: Decades of combined experience from North America's leading financial services institutions and top global consulting/engineering firms (McKinsey, Capco, TD, Scotiabank, etc.)
- **"Build. Better." execution bias**: Strategy work that is designed for real-world execution rather than slide-deck deliverables
- **End-to-end ownership**: Covers everything from advisory/strategy through build, cloud/platform engineering, DevSecOps, SRE, and AI modernization — not just code delivery
- **BuildX talent model**: A differentiated engagement model where clients can hire the team, enabling continuity and knowledge transfer rather than the traditional consultancy "hand-off"
- **Leap Left AI-first SDLC methodology**: A proprietary approach to AI-first software delivery that addresses the non-coding constraints (people, workflows, governance) around modern engineering
- **High employee satisfaction**: 4.8/5.0 employer rating (15 reviews) with culture rated 4.9 and career development rated 4.8 — a differentiator when attracting technologists

## Strategic Focus
- Scaling its AI-powered modernization and Leap Left methodology across financial services clients
- Continuing to build national (Canadian) and US presence through strategic hiring — particularly in technical roles (50 of ~88 employees are technical) and senior consulting talent
- Growing through selective acquisitions (e.g., New Helio) to expand advisory/engineering capacity
- Strengthening the BuildX model to deepen long-term client partnerships and talent development
- Building a "Talent Pool" pipeline for future hires, indicating proactive workforce planning around continued growth

## Why Work Here
- **Culture**: Rated 4.8/5.0 overall on employer review platforms — with Culture at 4.9, Career Development at 4.8, Work-Life Balance at 4.6, and Compensation at 4.6
- **Work model**: Hybrid workspace (combination of remote and on-site work) at the Toronto HQ
- **Growth environment**: 45.9% YoY headcount growth, 22 open positions, and heavy investment in mentorship and hands-on learning journeys (BuildX)
- **Engineering-led**: Technical staff make up ~46% of the workforce — engineers are core to the business, not an adjunct
- **Compensation benchmarks** (publicly listed salaries): Associate Engineer ~CAD 54,691/year; Consultant ~CAD 120,749/year; Principal Consultant ~CAD 223,802/year
- **Notable perk**: AI tools are used to support parts of the hiring process (resume review, response analysis), yet final decisions are human-driven — reflecting their AI-first but human-judgment approach
- **Impact**: Opportunity to work on mission-critical modernization and AI transformation projects for North America's leading financial institutions

## Sources
1. [ravl.io](https://www.ravl.io/)
2. [jobs.lever.co](https://jobs.lever.co/ravl_io)
3. [ca.linkedin.com](https://ca.linkedin.com/company/ravl-io)
4. [cbinsights.com](https://www.cbinsights.com/company/ravl)
5. [builtin.com](https://builtin.com/company/ravl)

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