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 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 we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their career they’re at. We promise rewarding work that makes a real impact, the chance to learn from inspiring colleagues across a growing, global network, and opportunities to grow personally and professionally. Benefits Competitive package with pension schemes, private healthcare, and flexible working 25 days holiday with options to buy/sell days Enhanced family leave and four volunteering days per year Discounted green travel and a top‑down emphasis on better work‑life balance Position We are looking for a Senior Data Engineer with advanced expertise in Databricks to lead the development of scalable data solutions across our asset performance management software, within our Digital Solutions business. This role involves architecting complex data pipelines, mentoring junior engineers, and driving best practices in data engineering and cloud analytics. You will play a key role in shaping our data strategy, the backbone of our software, and enabling high‑impact analytics and machine learning initiatives. Accountabilities Design and implement scalable, high‑performance data pipelines. Work with the lead cloud architect on the design of data lakehouse solutions leveraging Delta Lake and Unity Catalog. Collaborate with cross‑functional teams to define data requirements, governance standards, and integration strategies. Champion data quality, lineage, and observability through automated testing, monitoring, and documentation. Mentor and guide junior data engineers, fostering a culture of technical excellence and continuous learning. Drive the adoption of CI/CD and DevOps practices for data engineering workflows. Stay ahead of emerging technologies and Databricks platform updates, evaluating their relevance and impact. Knowledge Deep understanding of distributed data processing, data lakehouse architecture, and cloud‑native data platforms. Optimization of data workflows for performance, reliability, and cost‑efficiency on cloud platforms (particularly Azure; experience with AWS and/or GCP is beneficial). Strong knowledge of data modelling, warehousing, and governance principles. Knowledge of data privacy and compliance standards (e.g., GDPR, HIPAA). Understanding of OLTP and OLAP and appropriate deployment scenarios. Understanding of incremental processing patterns. Skills Strong proficiency in Python and SQL; experience with Scala is beneficial. Proven ability to design and optimize large‑scale ETL/ELT pipelines. Experience building and managing orchestrations. Excellent oral and written communication, both within the team and with stakeholders. Experience 5+ years of experience in data engineering, with at least 2 years working extensively with Databricks and orchestrated pipelines such as DBT, DLT, or job workflows. Experience with Delta Lake and Unity Catalog in production environments. Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Azure DevOps, Databricks Asset Bundles). Experience with real‑time data processing, both batch and streaming. Experience working on machine learning workflows and integrating them with data pipelines. Experience leading data engineering projects with distributed teams, ideally in a cross‑functional environment. Qualifications Databricks Certified Data Engineer Professional or equivalent certification. Job Details Seniority level: Associate Employment type: Full‑time Job function: Information Technology Location: Glasgow, Scotland, United Kingdom At RES we celebrate difference because it makes our company a great place to work. By 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 diversity comes from many sources including ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity, disability, marital status, parental status, education, social background, and life experience. #J-18808-Ljbffr