Join Servus Credit Union - Canada’s Largest Credit Union

We are hiring for a Data Engineering Analyst in our Data Technology & Infrastructure department. This role is Remote First .

Posting Closes: September 18, 2026

For Internal Use Only: P2/C

At Servus Credit Union , we do things differently—because we’re a credit union, not a bank. And that difference matters.

We believe in putting people before profits , which is why our members are also our owners. Every dollar we earn is reinvested into the things that matter most: our members, our employees, and our communities . Whether it’s through profit sharing, competitive rates, or local initiatives that make a real impact, we’re here to help Albertans feel good about their money.

We’re looking for passionate, values-driven people to join our team. We welcome individuals from all backgrounds who are aligned with our values and are eager to contribute in meaningful ways. If you're excited to grow your career with a team that’s innovative, hardworking, collaborative and deeply rooted in community, we want to meet you .

Join Servus and discover a better way to work.

The Intermediate Data Engineering Analyst is responsible for working closely with the IS Architecture team to expand and optimize our Data Warehouse architecture, as well as optimize the collection, the flows and distributed access of data. The Intermediate Data Engineering Analyst designs and builds data pipelines and is an experienced data wrangler. This role supports our software developers, data analysts, database administrators and data scientists on data initiatives.



The Intermediate Data Engineering Analyst works to ensure optimal data delivery architecture remains consistent throughout ongoing projects. The Intermediate Data Engineering Analyst must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. This role is instrumental and contributes to the optimization our data architecture to support our next generation of products and services for our members.

What You'll Be Doing

Delivery

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- Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues.

- Uses programming skills, ETL tools and data virtualization solution to develop, customize and manage integration tools, databases, warehouses, and analytical systems.

- Builds processes supporting data transformation, data structures, metadata, dependency, and workload management.

- Design and build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using structure and unstructured data as well as big data sources.

- Create data tools for analytics and data scientist team members that assist them in building and optimizing our products for growth targets and other strategic objectives.

- Prepare data for predictive and prescriptive modeling.





- Assist in the deployment of analytics programs, machine learning and predictive models.

- Assembling large, complex sets of data that meet non-functional and functional business requirements.

- Develops and maintains scalable data pipelines and builds out current API integrations to support continuing increases in data volume and complexity.

- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.

- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

- Contributes to engineering and architectural documentation.

- Tests the reliability and performance of each part of a data ecosystem.

- Design and build data integrations and data quality framework.

- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

- Lead projects and their delivery to ensure projects are completed as planned and exceed/meet defined expectations.

- Follow DevOps procedures throughout the delivery and operations. Contribute to the work items in the backlog(s) and communicate on delivery progress.

Operations

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- Work with various stakeholders with

📌 Data Engineering Analyst (Canada)
🏢 Servus Credit Union
📍 Canada