Steel Reef is a Canadian company that gathers and redistributes potentially wasted gas to deliver the energy that powers our lives.
From our Saskatchewan roots, we have grown into a dominant player in flare gas capture, contributing to the energy transition through coal-to-gas switching to power homes, communities and industries dedicated to reducing emissions and powering potential.
Since our inception in 2012, Steel Reef has supported the energy community in capturing wasted energy, processing and distributing associated natural gas and other products, and bringing in net new energy production and distribution for homes, communities and businesses.
Focusing our efforts within the Western Canadian Sedimentary Basin and Bakken Resource Play, Steel Reef has become a market leader in developing the emissions-to-energy practice to supply net new energy from flare gas, a previously unavailable source.
In 2024, Steel Reef entered into multiple long-term Power Purchase Agreements with SaskPower. Following construction of additional utility-grade electricity substations and generation turbines powered by recovered flare gas, Steel Reef will provide more than 100 megawatts (MW) of electricity within Saskatchewan and North Dakota, which could power more than 100,000 homes annually.
Position Profile:
Steel Reef is seeking a Data Solutions Analyst to join our Calgary team. In this role, you will design, build, and support scalable, secure, and business-aligned data solutions that enhance reporting, analytics, automation, and data-driven decision making.
This is a hands-on, delivery-focused role with responsibilities spanning data development, software development, and integration development. Working within Microsoft Fabric, you will build data pipelines, develop Python notebook-based solutions, and integrate data across enterprise systems, ensuring solutions are reliable, maintainable, and aligned with business needs.
You will partner closely with business stakeholders, the Business Enablement team, and technical partners to translate requirements into practical data and integration solutions. The role also contributes to enabling AI and advanced analytics capabilities, helping the organization leverage data to improve operational efficiency, innovation, and growth, while strengthening data quality and building reusable, scalable data assets.
Key Responsibilities
Data Development & Engineering
- Design, build, and maintain scalable data pipelines, transformations, and reusable data assets to support analytics and reporting needs.
- Develop data solutions in Microsoft Fabric using Python notebooks for ingestion, transformation, and data processing
- Implement and support medallion architecture (bronze, silver, gold layers) to improve data quality, structure, and usability.
Data Platform & Solution Design
- Translate business and reporting requirements into practical data designs and technical solutions.
- Design and support scalable data models, transformation processes, and integration patterns.
- Identify effective approaches for ingesting, storing, transforming, and serving data for analytics and reporting.
Software Development & Implementation
- Develop and deliver solution components (e.g. services, integrations, automation scripts, applications, or platform extensions) required to implement design solutions.
- Contribute quality code including unit tests and technical documentation to support maintainability and long-term support.
Business Enablement & Stakeholder Collaboration
- Partner with business stakeholders to understand data needs, reporting objectives, and process challenges.
- Work closely with the Business Enablement team to deliver data solutions that support decision making and operational efficiency.
- Support solution development and adoption through participation in discussions, requirements clarification, and documentation/knowledge transfer.
Continuous Improvement
- Identify opportunities to simplify data processes, reduce manual effort, and improve reusability of data assets.
- Contribute to standards, templates, and development practices for notebook development, data pipelines, and analytics engineering.
- Promote good development practices including version control, peer review, testing, and documentation.
- Stay current with evolving Microsoft Fabric capabilities, AI roadmaps, and data engineering best practices.
Required Skills, Experience & Education:
- Post-secondary education in computer science, information systems, engineering, data analytics, or a related discipline, with experience in data development, analytics engineering, or a similar technical role.
- Hands-on experience with Microsoft Fabric (or similar platforms), including development using Python notebooks, SQL, and data transformation techniques.
- Experience with PySpark / Spark, Power BI (semantic models/reporting), and Git-based development practices.
- Experience integrating enterprise systems (APIs, file-based ingestion) into analytics platforms.
- Experience building and supporting data pipelines, integrations, and curated datasets, with working knowledge of medallion architecture, data modeling, and analytics structures.
- Understanding of data quality, validation, governance, security, and best practices across cloud data platforms, including exposure to CI/CD, APIs, and DevOps workflows.
- Strong analytical, problem-solving, and communication skills, with the ability to collaborate with stakeholders and translate business requirements into practical data solutions.
Why Join our Team:
- Competitive compensation and bonus programs
- Competitive benefit package, including a Flex Spending Account and Savings Plan matching
- Monthly phone allowance
- 8 hours of annual paid Volunteer time to support the communities in which we operate
- Team building activities
- Various recognition reward programs including long-term service awards and value-based awards
- Ability to contribute to a dynamic organization with large growth ambitions
Our Steel Reef team has returned to the office, however, to provide our employees with flexibility, we have implemented a trial hybrid work model where employees have the option to work from home four (4) days per month. Working closely together and supporting each other are fundamental aspects of our culture and how we work. Connecting in a common workspace is key to helping us reinvigorate our corporate culture and enable more effective communication and collaboration.
All positions require background screening.
This posting will close once a suitable candidate has been found.
Steel Reef thanks all candidates for their interest, however, only those selected for an interview will be contacted.
