R
Ravl Io3mo ago

Data Engineer

Toronto,TorontoFull Time Permanentmid
Data EngineeringData EngineerDataData & AI
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Quick Summary

Overview

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.

Technical Tools
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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.
  • 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
  • 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
  • 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.
  • 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
  • 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.

    • Location & Eligibility

    Where is the job
    Toronto
    Hybrid — some on-site time required
    Who can apply
    Same as job location
    Listed under
    Worldwide

    Listing Details

    Posted
    January 28, 2026
    First seen
    March 26, 2026
    Last seen
    May 13, 2026

    Posting Health

    Days active
    47
    Repost count
    0
    Trust Level
    25%
    Scored at
    May 13, 2026

    Signal breakdown

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