Staff Engineer

Do you want to work to make Power for Good?

We're the world's largest independent renewable energy company. We're driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy.

We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.

RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.

Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make a difference somewhere else.

The position

We are looking for a Staff Engineer (Solution Architect) to join our Digital Solutions business. This role is pivotal in shaping the technical direction of our asset performance management software, ensuring scalable, secure, and maintainable solutions across cloud, data, and application domains.

You will be responsible for translating architectural vision into actionable technical designs, working under the guidance of the Lead Cloud Architect, and collaborating with engineering teams to implement scalable solutions. This is a highly collaborative and hands-on technical leadership role, requiring deep expertise across software engineering, cloud platforms, and system integration.

Accountabilities

• Define and communicate architectural vision and strategy across multiple engineering teams.
• Design and implement scalable, cloud-native solutions with a strong emphasis on leveraging Databricks for advanced analytics, data engineering, and machine learning workflows. You will play a key role in enabling data-driven decision-making across the business.
• Work within highly cross-functional teams, adapting to diverse technical domains and business needs. You'll collaborate with product managers, data scientists, platform engineers, and software developers to deliver integrated solutions that span cloud infrastructure, data pipelines, and application layers.
• Provide hands-on guidance and support in implementing architectural patterns and best practices.
• Conduct technical reviews and ensure alignment with security, compliance, and performance standards.
• Champion modular design and integration strategies.
• Drive adoption of DevOps, CI/CD, and infrastructure-as-code across teams.
• Evaluate emerging technologies and guide their adoption where appropriate.

Knowledge

• Deep understanding of cloud architecture (Azure preferred), data analytics, and distributed systems.
• Strong grasp of software design principles, including domain-driven design and event-driven architecture.
• Deep familiarity with data architecture concepts including lakehouse, OLTP/OLAP, and real-time processing.
• Knowledge of security, identity, and compliance in cloud environments.
• Understanding of enterprise integration patterns and API management.

Skills

• Data-driven approach to architectural decision making.
• Proficiency in one or more programming languages (ideally including Python or Node/Typescript).
• Strong system design and documentation skills.
• Excellent communication and stakeholder engagement abilities.
• Comfortable working in dynamic environments with shifting priorities and cross-disciplinary teams.
• Ability to mentor engineers and influence technical direction across cross-functional teams.

Experience

• 8+ years in software or data engineering, with at least 3 years in architectural or technical leadership roles.
• Proven experience designing and delivering complex cloud-native, data-driven solutions.
• Experience working in cross-functional teams and influencing at multiple levels.
• Hands-on experience with Databricks, including Delta Lake, notebooks, and MLflow, is highly desirable.
• Exposure to both batch and streaming data systems, and integration with analytics or ML workflows (preferably using Databricks).
• Experience working with data analytics platforms would be advantageous.

Qualifications

• Relevant cloud or architecture certifications (e.g., Azure Solutions Architect Expert).
• Demonstrated commitment to continuous learning and technical excellence.

At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.

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