At a Glance
- Tasks: Build and optimise data pipelines and AI products for a sustainable future.
- Company: Join the world's largest independent renewable energy company.
- Benefits: Competitive salary, diverse benefits, and a focus on work-life balance.
- Other info: Diverse and inclusive workplace that values different perspectives.
- Why this job: Make a real impact in renewable energy through innovative data solutions.
- Qualifications: Degree in data/AI and significant experience in engineering solutions.
The predicted salary is between 60000 - 80000 £ per year.
We’re the world’s largest independent renewable energy company, guided by a vision to create a future where everyone has access to affordable, zero‑carbon energy. Our competitive package offers a wide range of benefits and rewards.
The Senior Data and AI Engineer role is a unique opportunity to help build a world‑class global data and AI platform. You’ll be responsible for building production‑grade data pipelines and AI‑ready data products across Fabric, Azure and the legacy estate, including the governed technical integration between AI tools and the enterprise data platform.
Accountabilities- Architect, build, implement and operate reliable, secure and observable data pipelines and curated datasets across the legacy and future platform.
- Deliver robust bronze, silver and gold data layers.
- Take ownership of engineering quality, automation, observability and optimise performance across the data and AI platform.
- Implement robust engineering standards and lead delivery of and oversee curated datasets with strong data quality controls, lineage capture and monitoring into pipelines.
- Engineer AI‑ready data products that can safely be consumed through semantic models, APIs, SQL endpoints or AI tools.
- Build the technical services required for AI‑enabled consumption, including governed query patterns, meta data retrieval, logging and traceability.
- Support API/MCP‑style integration between AI and Fabric/Purview.
- Ensure AI tools only consume approved, certified and access‑controlled datasets.
- Work with the platform, architect and governance leads to ensure secure identity, access, quality patterns, embed classification, certification, quality and audit into engineering.
- Advanced skills in Microsoft stack including Azure, Fabric, Synapse, Purview and AI engineering.
- Expert in data and AI engineering delivery, tools and technologies including SQL, Python and others.
- Strong problem‑solving skills, operational mindset and ability to mentor, train and QA data and AI engineers’ work.
- Innovation in the latest technologies for best practice data and AI engineering.
- Strong, clear communication and stakeholder management and reporting of risk, change and impact.
- The ability to thrive in this role which demands technical and data‑driven results.
- Skilled in data and AI engineering for AI/ML initiatives.
- Degree in a relevant field directly related to data and AI.
- Significant experience delivering enterprise‑grade data and AI engineering solutions in production environments and leading teams to deliver high performance outcomes.
- Proven experience as a Senior Data and AI Engineer, with a strong portfolio of building real‑time data and AI systems and teams using modern approaches.
- Extensive experience of working with Data and AI teams that provide in‑depth AI, analytics reporting capabilities across the business.
- Hands on current technical data and AI engineering experience.
- Extensive experience with Python including open‑source data libraries and frameworks and messaging systems, along with proficiency in building out modern data and AI warehouses.
- Azure data and AI mastery: Deep expertise in the Azure Ecosystem, specifically Azure Data Factory (ADF), Synapse, Unity Catalogue, Fabric, Purview: data lakes/lakehouse, data quality and testing frameworks and automation.
- Leading and maintaining security and privacy by design: access controls, handling of PII, auditability.
- Demonstrated ability to improve reliability, cost, performance and maintainability of data platforms.
- Building quality global datasets for BI, AI and analytics consumption from many ingestion sources and leading/coaching and setting guardrails for regional data/analytics engineers and advising on projects.
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.
Senior Data and AI Engineer in Kings Langley employer: RES
At RES, we pride ourselves on being the world's largest independent renewable energy company, dedicated to creating a sustainable future through affordable, zero-carbon energy. Our vibrant work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development in the rapidly evolving field of data and AI engineering. With a competitive benefits package and a commitment to diversity and inclusion, we ensure that every team member feels valued and empowered to contribute to meaningful projects that make a real difference.
