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Data Engineer; Google Cloud Platform

Job in Toronto, Ontario, C6A, Canada
Listing for: LanceSoft Inc
Full Time position
Listed on 2026-02-17
Job specializations:
  • Software Development
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (Google Cloud Platform)

Location Address:
Hybrid - 44 King Street W 19th Floor, Toronto – 4/week
Subject to change: 3–4 days onsite may be required based on business needs
Contract Duration: ASAP to Oct 31, 2026 – approx. 7 months
Possibility of extension & conversion to FTE
Schedule

Hours:

9am-5pm Monday-Friday; standard 37.5 hrs/week

Project:

The successful candidates will help modernize a key internal Finance workflow application. The project involves refactoring an end‑to‑end finance application into Google Cloud Platform (GCP), consolidating three legacy tools into a single streamlined solution that integrates a chart of accounts database and the Master Data Management Database (MDMB). The application processes and validates bank financial transactions. The goal is to enhance user experience, modernize the architecture, and migrate the full stack application into the cloud.

The successful candidates will play a key role in redesigning the workflow, rebuilding the backend logic, and improving the entire user journey. The team is currently in the early planning and design stages — giving the incoming developers significant input into architectural decisions, technology choices, and overall solution design.

Typical Day in Role:
  • Collaborate with cross‑functional teams to do an end‑to‑end refactor/redesign of critical Finance applications into cloud‑native GCP solutions, written in Python.
  • Develop data pipelines using Composer, Dataflow, and GCS (Google Cloud Storage) for both streaming and batch processing.
  • Reverse‑engineer and analyze critical on‑premise applications consisting of stored procedures, Microsoft SQL Server.
  • Design and implement data models, ensuring scalability and performance in the cloud.
  • Participate in setting up GCP environments, including infrastructure‑as‑code, to support the new system.
  • Contribute to the migration strategy for transitioning on‑prem applications to the cloud, including designing a structured migration process.
  • Implement CI/CD pipelines to ensure smooth deployment and testing workflows.
  • Apply sound software engineering principles, including object‑oriented programming, to create maintainable, robust code.
  • Provide regular updates and insights to stakeholders and gather feedback for ongoing improvements.
  • Contribute to the long‑term technical vision of the cloud data platform.

Role split: 20% meetings (Client, stakeholders), 80% back‑end application coding and GCP migration/infrastructure work

Candidate Value Proposition:

Join Global Finance Technology team to refactor and rebuild critical user‑centric financial applications into a next‑generation, cloud‑native platform. You’ll work across the full stack, applying strong engineering fundamentals while helping design and build a modern Finance Platform on GCP. This is a rare opportunity to work on a transformative, ground‑up rebuild of a mission‑critical Finance application. You’ll gain hands‑on experience with modern data processing technologies, cloud‑native architecture, and GCP infrastructure.

You’ll have significant influence on system design, architecture decisions, and workflow modernization — ideal for a developer who enjoys building thoughtfully engineered solutions and applying creativity to complex system challenges.

Candidate Requirements / Must Have

Skills:
  • 7+ years as a Software Engineer/Developer
  • 3+ years of hands‑on coding experience with Python and Java
  • 3+ years working with SQL databases, including writing complex, efficient queries and understanding data structures
  • 1+ year experience with cloud technologies (preference for GCP)
  • 1+ year experience with containerization technologies such as Kubernetes, Docker
  • Nice‑To‑Have Skills – in order of preference:
  • Experience with any of these GCP tools:
    Cloud Composer, Dataflow, GCS, Big Query, CloudSQL
  • Cloud Environment Setup:
    Experience in setting up GCP environments from scratch, including the creation of cloud infrastructure.
  • Experience with financial data systems
  • Experience with database tools: SQL Server (preferred), or Oracle, DB2, Postgres
  • Experience with data modelling concepts including multi‑dimensional data modelling, hierarchical data models (trees), OLAP cubes.
  • Experience with REST APIs
  • Experien…
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