Data Engineer

Responsibilities

• Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions
• Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions
• Help structure and expose data so it is consistent, understandable, and reusable across domains - Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns
• Enable self-service use of data by making it accessible and usable beyond engineering teams
• Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near-real-time, handling historical data, and shaping metrics and semantics for usability
• Define and promote best practices for data quality, testing, documentation, and access control
• Explore how modern tooling, including AI-assisted development, can improve how we build, test, and maintain data products
• Support and coach colleagues in modern data engineering practices

Requirements

• You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how data platforms should be designed - and how those designs need to evolve as technology and business needs change.
• We believe you bring many of the following:
• Several years of experience in data engineering or modern data platform development
• Experience building end-to-end data solutions (ingestion, storage, transformation, consumption)
• Interest in contributing beyond your immediate team - shaping shared ways of working, standards, and platform capabilities
• Strong SQL skills and experience modeling data for analytical use
• Experience with cloud-based data platforms and infrastructure-as-code
• Knowledge of engineering practices such as CI/CD, testing, and code review
• Ability to make sound technical decisions without being tied to specific tools or vendors
• Interest in areas such as self-service analytics, semantic modeling, temporal data, and data governance
• Experience working closely with business stakeholders, analysts, or operational teams
• Strong communication skills and ability to explain technical solutions clearly
• Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for analytics and optimization
• Benefits at Stegra
• At Stegra, you'll join a company where your work has real impact on the climate, the industry, and future generations. We're building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive.
• Here's what makes this role unique:
• Breadth, not silos: You'll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem.
• Ownership from day one: You'll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation

Additional Information

Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we're building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen. If you share our passion but don't meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow. At Stegra, we're not just building a plant, we're proving that sustainable industry is possible. And to do that, we need people like you. Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life.

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