About this role
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.Comfortable taking ownership of complex data models within data engineering projects and developing appropriate solutions in line with business requirements.Hands-on experience working with stakeholders and managing requirements.Ability to actively coach and mentor others, and foster a culture of innovation and peer review.Strong attention to detail and curiosity about the data you are working 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 such as 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 your own goals and take the initiative.Drive to troubleshoot and deconstruct problems, and build appropriate solutions.Previous data migration experience is ideal.Energy sector experience is a bonus but not essential. Responsibilities: Work with 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 achieve our data vision and ensure data is managed properly to meet business requirements.Design efficient and scalable data pipelines in accordance with reviewed and approved data models, and evolve them as requirements and technologies change.Improve data engineering practices and provide education on data modelling to colleagues.Build towards and maintain an enterprise data model within Databricks.Create and maintain documentation of data pipelines and associated systems, and adhere to security and monitoring processes.Review data quality and reliability processes and make recommendations to ensure they are effective and followed. Technologies: AIAWSArchitectCloudDatabricksSupportLinuxMachine LearningSQLSecuritySparkWeb More:
We are E.ON Next, 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 centre of what we do. This is a hybrid role based in Nottingham and sits inside IR35, offering up to £600+. We are committed to building an ambitious, creative data team and are supported by Rullion, who celebrate diversity and equal opportunities for employees and applicants.
last updated 29 week of 2026