Senior Data Engineer

Description

Do you want to work to make Power for Good?

We’re the world’s largest independent renewable energy company. We’re guided 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 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 a wide range of benefits and rewards.

The Senior Data Engineer role is a unique opportunity to help build a world‑class global data platform. You’ll be responsible for delivering products for our internal customers, designing, implementing, and maintaining complex data pipelines and infrastructure that will give RES a competitive edge. The Senior Data Engineer will be required to build relationships and collaborate with key stakeholders.

• Architect build, implement and operate reliable, secure and observable data pipelines and curated datasets that power enterprise reporting, analytics and AI/ML use cases.
• Take ownership of engineering quality, automation and performance across the data platform, partnering with architecture, governance, modelling and reporting teams to deliver end‑to‑end data products.
• Lead and directly line‑manage the data engineering team driving a high performing team, accountability, innovation and the latest technology for automation, cost efficiency and innovation.
• Implement robust engineering standards and lead delivery of and oversee curated datasets with strong data quality controls and monitoring. Drive observability and optimise performance and cost.
• Lead work across IT leadership, business domains and source system owners and integration teams to onboard new sources and validate extracts.
• Lead incident response strategy and implementation and continuous improvement for BAU operations; drive root cause remediation.
• Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous improvement of our data ecosystem.
• Build our Data Platform and solve complex data problems to deliver insights helping to build our trading data platform.
• Foster a culture of sharing, mentor junior engineers, provide guidance, and drive excellence.
• Convert data engineering and architecture best practices in the Data and Engineering teams, building a data culture based on the highest quality and reliability standards.
• Lead AI/ML use cases by producing feature‑ready datasets and supporting data scientists with efficient data access patterns.

• Leadership (this is a senior role where your leadership and mentorship skills are important to the success of the wider team).
• Advanced skills in Microsoft stack including Azure, Fabric, Synapse, Purview and Power
  
  BI.
• Expert in data engineering tools and technologies including SQL, Python and others.
• Strong problem‑solving skills, operational mindset and ability to mentor, lead, train and QA engineers work.
• Innovation in the latest technologies for best practice engineering, including data and AI/ML.
• Strong, clear communication and stakeholder management and reporting of risk, change and impact.
• Enthusiastic about helping juniors develop and grow.
• The ability to thrive in this role which demands technical and data‑driven results.
• Skilled in data engineering for AI/ML initiatives.

• Degree in a relevant field directly related to data.
• Significant experience delivering enterprise‑grade data engineering solutions in production environments and leading teams to deliver high performance outcomes.
• Proven experience as a Senior Data Engineer, with a strong portfolio of building real‑time data systems and teams using modern…