Product Manager owning Spotify’s data catalogue, metadata, and lineage roadmap. Improving how engineers, analysts, and AI agents discover and safely use data.
About the role
- Data Engineering Analyst optimizing Servus Credit Union’s data warehouse, pipelines, integrations, and analytics infrastructure. Supporting data-driven financial services for Alberta members.
Responsibilities
- Work closely with the IS Architecture team to expand and optimize Data Warehouse architecture
- Optimize data collection, data flows, and distributed data access
- Design and build data pipelines and data integrations
- Support software developers, data analysts, database administrators, and data scientists on data initiatives
- Develop and manage integration tools, databases, warehouses, and analytical systems using programming, ETL tools, and data virtualization
- Build processes for data transformation, data structures, metadata, dependencies, and workload management
- Extract, transform, and load structured, unstructured, and big data from diverse sources
- Create data tools supporting analytics and data science teams
- Prepare data for predictive and prescriptive modeling
- Assist with analytics, machine learning, and predictive model deployment
- Assemble complex data sets meeting functional and non-functional business requirements
- Develop scalable data pipelines and API integrations
- Build analytics tools providing insights into customer acquisition, operational efficiency, and business performance
- Improve data models feeding business intelligence tools and promote data-driven decision making
- Monitor data quality, availability, protection controls, and ecosystem performance
- Contribute to engineering and architectural documentation
- Test reliability and performance across the data ecosystem
- Lead projects and delivery, follow DevOps procedures, and communicate progress
- Manage data access and disposal requests and coordinate remediation activities
- Identify and implement process improvements, automation, and scalable infrastructure redesigns
- Develop KPIs and conduct annual Data Architectural Maturity assessments
- Provide education and mentoring on data engineering practices
- Analyze industry trends and improve data engineering techniques
- Participate in audits, data prioritization meetings, and stakeholder meetings
Requirements
- Bachelor's degree or diploma in Computer Science, Engineering, Information Systems, or related field
- 4+ years' experience in data engineering management, Python or Java, SQL, and data modeling
- Experience with Agile methods and machine learning tools
- Strong understanding of data science
- Excellent communication and teamwork skills
- Ability to lead teams, train others, and work independently
- Self-motivated, organized, and analytical
- Strong project, organizational, and time management skills
- Excellent written, verbal, and presentation communication
- Skilled in documentation, facilitation, and negotiation
- Effective at collaborating with and influencing stakeholders at all levels
- Capability to solve complex problems and meet deadlines under pressure
- Eagerness to learn about the business
- Selected candidate must successfully pass a criminal background check, reference check, and credit check
- Occasional travel to Edmonton, Calgary, or Red Deer may be necessary
Benefits
- Competitive compensation including performance-based incentive pay and profit share
- Health and wellness benefits
- Vacation programs
- Retirement savings programs
- Training & Development Opportunities
- Career Advancement Potential
- Flexible work options
- Meaningful work towards individual and corporate goals
- Employee volunteer program
- Credit union membership benefits including profit sharing, voting for the board of directors, and financial services
- Additional member perks
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer building scalable data platforms for Alpaca’s global brokerage infrastructure. Operating Kubernetes, streaming, lakehouse, and cloud data systems at scale.
Senior Data Platform Engineer building scalable data platforms for Mistplay, a mobile gaming loyalty app. Owning ingestion, lakehouse, pipelines, observability, and low - latency data access.
Azure data platform administrator operating Desjardins’ cloud data platform. Supporting DevOps teams through infrastructure automation, security, deployments and production operations.
Endpoint Engineer building Ent’s endpoint data - protection layer for enterprise workspace security. Classifying sensitive data, controlling exfiltration channels, and integrating on - device intent intelligence.
Azure Data Platform Administrator supporting Desjardins’ hybrid DevOps infrastructure. Automating tasks, stabilizing environments, and advising on IT solutions and change management.
Senior Data Engineer building secure, scalable data platforms for Assent’s product compliance intelligence network. Driving architecture, hands - on implementation, governance, and technical mentorship.
Staff Data Engineer building scalable data platforms for Penn Entertainment’s gaming, sports betting, and media products. Leading architecture, data quality, analytics engineering, and technical mentorship.
Senior Data Engineer designing scalable Databricks Lakehouse architectures for Bits In Glass, an AI and automation consulting firm. Building governed pipelines, streaming solutions, and cloud data platforms for client modernization.
Senior Data Engineer designing scalable Databricks lakehouse architectures for Bits In Glass, an AI and automation consulting firm. Leading pipelines, governance, cloud modernization, and client data solutions.