Senior Data Engineer

Can Cap is a Canadian success story. We established our reputation as a significant player in the Canadian automotive lending space. Today, that foundation supports a broader ecosystem of financial services operating in the background.

Now, we are changing. We are evolving from a traditional financial institution into a product-led technology company. We are reimagining our operations with the speed and tooling of a modern tech firm.

A note on our current look: We are currently overhauling our entire brand and public presence. If you visit our website today, you will see our history. We are looking for the builders who will architect our future.

We are seeking a Senior Data Engineer to set the technical standard for our data platform. At Can Cap, we view data as a strategic product. In this role, you act as a technical anchor—designing scalable ingestion patterns, optimizing Lakehouse performance, and elevating the engineering standards of the team.

You won't just move files around. You will be the technical architect of data products that carry real business value. You will design systems that power everything from real-time credit adjudication to long-term strategic insights, ensuring our architecture is robust enough to handle the complexity of our evolving business.

• Technical Mastery: You possess advanced proficiency in SQL and Python
  . You understand the internals of distributed computing (Spark) and can optimize complex queries and transformation logic for both speed and cost.
• Architectural Vision: You think in systems. You understand the trade-offs between streaming and batch processing, you know how to model data for diverse access patterns (Star Schema vs. Data Vault), and you can design for long-term scalability.
• Modern Stack Leadership: You have deep production experience with Databricks (Unity Catalog, Lakehouse architecture) and dbt
  . You know how to implement rigorous Data Ops practices (CI/CD, automated testing, observability).
• The "Data as Product" Mindset: You apply software engineering principles to data. You treat data quality, documentation, and lineage as first-class citizens, ensuring downstream users trust what they see.
• Mentorship: You lift the team up. You conduct thorough code reviews, mentor junior engineers on best practices, and foster a culture of technical excellence.
• Experience Guide: We prioritize your ability and the complexity of the data systems you have built over the exact number of years on your resume. We typically see successful Senior candidates with 5+ years of experience.

• Architect for Scale: Design and optimize our Databricks (GCP) environment. You will define the patterns for ingestion, storage, and access, ensuring we process data efficiently as volumes grow.
• Elevate Standards: You will own the health of our dbt repository and transformation logic. You will establish the standards for testing, documentation, and version control that the rest of the team follows.
• Solve Hard Problems: You will tackle the most complex challenges—whether that's integrating a difficult legacy data source, debugging a performance bottleneck in Spark, or designing a real-time streaming pipeline for credit scoring.

We believe in clean architecture, thoughtful implementation, and massive leverage.

• Developer-Led Tooling: We invest heavily in the tools our engineers actually want to use. We actively experiment with and adopt the latest AI assistants (like Claude, Cursor, Antigravity, and Copilot) to reduce boilerplate and improve velocity. Our tooling strategy is driven by developer feedback and real-world utility.
• Modern Data Architecture: We are building a unified intelligence platform using Databricks
  . You will own the architecture that allows our software engineers to consume complex data models, rather than just treating the database as a simple storage bin.
• Technically Agnostic, but Opinionated: We value modularity and clear lineage in our pipelines. We prefer idempotent workflows over "black box" scripts and focus on the result: reliable, high-quality data.
• Autonomy: You will collaborate directly with…