Senior Data Engineer

Team: IT

Accountabilities:

• Own and evolve end-to-end data pipelines and datasets that support critical product features, including forecasting, flexibility optimization, billing, and analytics use cases.
• Design, build, and maintain scalable and reliable data infrastructure, ensuring high data quality, availability, and performance across the platform.
• Improve and modernize the data platform architecture, tooling, and engineering practices to support long-term scalability and reliability.
• Implement robust data quality frameworks, including testing, monitoring, anomaly detection, and data lineage practices.
• Enable self-serve analytics by designing well-structured, well-documented datasets that support business, product, and leadership insights.
• Collaborate closely with data science and engineering teams to support feature pipelines, model readiness, and production deployment of data-driven solutions.
• Contribute to forecasting and analytics initiatives by ensuring high-quality, well-prepared datasets for time-series and energy-related use cases.
• Evaluate and drive technical decisions around data stack, tooling, and architecture, balancing speed, scalability, and maintainability.

Requirements:

• 5+ years of experience in data engineering, analytics engineering, or related roles within production environments.
• Strong expertise in SQL, data modelling, and building scalable data pipelines in modern data stacks.
• Hands-on experience with data warehouse and ELT tools such as Snowflake, dbt, Airbyte, or similar technologies.
• Proven ability to design and operate reliable, production-grade data systems with strong focus on data quality and observability.
• Experience working with large-scale datasets, event-driven data, or time-series/forecasting use cases is highly valuable.
• Strong engineering mindset with ability to balance pragmatism, delivery speed, and long-term scalability.
• Ability to work independently, take ownership, and define priorities in a highly autonomous environment.
• Strong communication skills, with the ability to translate complex data problems into clear, actionable solutions for technical and non-technical stakeholders.
• Familiarity with data governance, analytics enablement, or cost-efficient warehouse design is a plus.
• Interest in AI-assisted development workflows or applied machine learning environments is considered an advantage.
• Exposure to energy, climate tech, or flexibility/energy markets is a strong plus.

Benefits:

• Opportunity to join a mission-driven climate-tech company shaping the future of energy systems.
• Fully remote-first setup within Europe, with optional access to Oslo office or co-working support.
• Competitive compensation package with attractive employee equity/option program.
• Flexible, human-first working culture focused on autonomy and impact.
• Three annual company off-sites in international locations.
• Home office setup stipend to support remote work comfort and productivity.
• High-growth environment with strong technical ownership and real product impact.
• Inclusive, collaborative team culture with strong emphasis on learning and experimentation.