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Senior Data Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in United Kingdom.

This is a high-impact opportunity to shape the data foundation of a fast-scaling climate-tech and energy software environment. You will play a central role in building and evolving a modern data platform that powers critical products focused on energy flexibility, forecasting, and real-time device orchestration. Working closely with data science, engineering, and commercial teams, you will ensure that data is reliable, accessible, and production-ready across multiple business use cases. The role combines hands-on engineering with architectural thinking, giving you ownership over how data is structured, delivered, and trusted across the organization. You will contribute directly to both product performance and strategic decision-making in a mission-driven, fast-moving environment. This position is ideal for a senior engineer who thrives in ambiguity, enjoys building scalable systems, and wants meaningful impact on the energy transition.

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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