Salary
£? – ? per year
Requirements
- Minimum five years of proven, hands‑on experience as a Data Architect.
- Strong understanding of SQL, database design, and data architecture.
- Knowledge and experience of Amazon Web Services, with a strong understanding of cloud‑based design, particularly within AWS.
- Experience taking ownership of complex data models within data engineering projects and developing appropriate solutions aligned to business requirements.
- Hands‑on experience working with stakeholders and managing requirements.
- Ability to coach and mentor others, and foster a culture of innovation and peer review.
- Strong attention to detail and curiosity about the data being worked with.
- Strong understanding of Linux‑based tooling and concepts.
- Strong experience with Databricks and/or Spark.
- Experience with data governance, data cataloguing, data quality principles, and associated tools.
- Understanding of data extraction, joining, and aggregation tasks, especially on big and real‑time data using Spark.
- Understanding of data cleansing operations to prepare data for analysis, including transforming data into useful formats.
- Ability to explain data storage concepts and logical data structures, including data warehousing.
- Ability to make recommendations for data pipeline design based on business requirements.
- Open to new ways of working and new technologies.
- Ability to set own goals, take initiative, and troubleshoot complex problems.
- Previous data migration experience is ideal.
- Energy sector experience is a bonus but not essential.
Responsibilities
- Work with the various data team families to design, review, and refine data models.
- Be involved in data modelling, including conceptual, logical, and physical modelling where appropriate.
- Assess whether data is efficiently managed, stored, and accessed in ways that support business requirements.
- Consider the bigger picture through enterprise data modelling and plan for the impact of data changes over time.
- Design technical architecture solutions for machine learning and AI applications.
- Use data models to help ensure our data vision is achieved and that data meets business needs.
- Design efficient and scalable data pipelines in line with reviewed and approved data models.
- Evolve and improve data pipelines as requirements change and new technologies become available.
- Improve data engineering practices and provide education on data modelling to colleagues.
- Build toward and maintain an enterprise data model within Databricks.
- Create and maintain documentation for data pipelines and associated systems.
- Adhere to security and monitoring processes around data.
- Review data quality and reliability processes and make recommendations to ensure trust in the data.
Technologies
- AI
- AWS
- Architect
- Cloud
- Databricks
- Support
- Linux
- Machine Learning
- SQL
- Security
- Spark
- Web
More
We are undertaking a fast‑paced data transformation into Databricks, using best‑practice data governance and architectural principles, and we are growing our data engineering capability within our Data Team. We are looking for a Data Architect to help bring our vision to life by designing and iterating on data architecture, ensuring data is efficiently stored and managed within our enterprise data lakehouse. We are based in Nottingham and offer a hybrid working arrangement. E.ON Next is a brand‑new, fast‑moving business and one of the biggest energy providers in the UK, playing a crucial role in shaping the UK energy market. We are focused on 100% renewable energy, sustainability, and putting our customers at the heart of what we do. We are committed to building an ambitious, talented, and creative team, and we value innovation, ownership, and collaboration.
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