Data Engineering Analyst II

Servus is growing! We are currently looking for a Data Engineering Analyst II in our Data and Infrastructure Department.

Servus Credit Union is Alberta's largest member-owned credit union, known for building strong, resilient communities by helping our members feel good about their money. One of Canada's Best Managed Companies for 20 consecutive years and ranked as one of the top banks in Canada on Forbes World's Best Banks list for two years in a row, we are a team of smart, gutsy, and driven individuals.

Reporting to the Data Integration & Transformation Lead, the main objective is to make substantial contributions to improving the overall maturity of the organization's data structures, as well as their movement, scalability, and availability throughout the enterprise.

The Data Engineering Analyst II plays a key role in collaborating with the Data Technology, Governance, and Data Science teams to modernize our data architecture. This position involves designing and constructing data pipelines, leveraging the analyst's expertise in data management, as well as cost optimization in data storage. The Data Engineering Analyst II provides support for business stakeholders, data analysts, cloud infrastructure teams, and data scientists regarding various data initiatives. The individual in this role should possess self-direction and be adept at addressing the data requirements of multiple teams, systems, and products. This position is crucial in advancing our data platforms to enhance the next generation of products and services for our members.

• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Collaborates with stakeholders including data analytics, accounting, operations, data science, and IT teams to address data-related technical issues.
• Utilizes programming skills, ETL tools, and data virtualization solutions to develop and manage integration tools, APIs, pipelines, and data platform ecosystems.
• Designs and builds infrastructure for optimal extraction, transformation, and loading of data from various sources, including structured, unstructured, and big data.
• Creates data tools for analytics and data science teams to support product optimization and strategic objectives.
• Prepares data for predictive and prescriptive modeling and assists in deploying analytics programs, machine learning, and predictive models.
• Builds analytics tools to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics.
• Implements processes to monitor data quality, ensuring accuracy and availability for stakeholders.
• Contributes to engineering documentation and tests data ecosystem reliability.
• Leads projects to ensure timely completion and adherence to expectations, following DevOps procedures.
• Ensures alignment with strategy and direction set by the leadership and demonstrates willingness to commit to a direction and drive operations to completion.
• Analyzes data engineering trends to ensure alignment with industry best practices and continuously improve associated techniques within Servus to meet its information needs.
• Contributes to Servus culture and data maturity needs through effective communications with peers within other areas across Servus.
• Monitors data protection controls, identifies gaps, and recommends solutions in collaboration with Security, Privacy, and Risk Management groups.
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.

• Bachelor's degree or diploma required in Computer Science, Engineering, Management Information Systems or related field.
• Experience with Cloud data platform(s); such as: Azure, Databricks, or Synapse.
• ETL/ELT pipeline experience with ADF, Synapse Pipelines, DBT, or Databricks DLT.
• Advanced SQL and Intermediate Python experience (5+ years).
• Data Modeling experience with schema design and dimensional data models (4+ years).
• Experience with Agile Software Development methodologies.
• Experience with ML libraries and frameworks.
• Strong understanding of data science concepts and advanced analytics.

Most importantly, we're looking for candidates who align with our values. We live our values in how we do business. We're not afraid to be different - in fact, we embrace our differences. We have a spirit that motivates us to give our best service to members every day. It's our values that attract many people to Servus - and keep them with us. We embrace our culture and heritage, and we pride ourselves on our strong commitment to the communities we serve and our efforts to build and maintain member loyalty. If this sounds like you, then we encourage you to apply!

Working for Servus has outstanding benefits. In addition to standard benefits like health and wellness, vacation and retirement savings programs, we also provide other important benefits such as:

• Training & Development Opportunities.
• Career Advancement Potential.
• Flexible work options.
• Competitive Compensation including performance-based incentive pay.
• Meaningful work towards individual and corporate goals.
• Opportunities to get involved and give back through an employee volunteer program.

For Information About These Benefits And More, Click Here.

At Servus, our employees are also members. This means you'll have all the benefits of being a member of the credit union including profit sharing, voting for the board of directors, and all of the services we provide ... with a few additional perks!

Only those applicants selected for an interview will be contacted. Should you require any accommodations during the hiring process, please advise us at that time.

Discover a sense of belonging amongst a team of unique, authentic individuals working together to reimagine financial fitness. We value and celebrate the richness that diverse backgrounds and experiences bring to our community. Your skills, passion, and curiosity may find a sense of belonging at Servus, so even if you don't check every box we encourage you to apply!