Salary: £30,000 - 55,000 per year Requirements: Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. Strong understanding of SQL, database design, and data architecture. Experience with Databricks and/or Spark. Knowledgeable in data governance, data cataloguing, data quality principles, and related tools. Skilled in data extraction, joining, and aggregation tasks, especially with big data and real-time data using Spark. Capable of performing data cleansing operations to prepare data for analysis, including transforming data into useful formats. Understand data storage concepts and logical data structures, such as data warehousing. Able to write repeatable, production-quality code for data pipelines, utilizing templating and parameterization where needed. Can make data pipeline design recommendations based on business requirements. Open to new ways of working and new technologies. Self-motivated with the ability to set goals and take initiative. Driven to troubleshoot, deconstruct problems, and build effective solutions. Experience of Git / Version control. Experience working with larger, legacy codebases. Understanding of unit and integration testing. Understanding and experience with CI/CD and general software development best practices. A strong attention to detail and a curiosity about the data you will be working with. A strong understanding of Linux based tooling and concepts. Knowledge and experience of Amazon Web Services is essential. Responsibilities: Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. Build and manage an enterprise data model within Databricks. Integrate new data sources into the platform using batch and streaming processes, adhering to SLAs. Create and maintain documentation for data pipelines and associated systems, following security and monitoring protocols. Ensure data quality and reliability processes are effective, maintaining trust in the data. Take ownership of complex data engineering projects and develop appropriate solutions in accordance with business requirements. Work closely with stakeholders and manage their requirements. Actively coach and mentor others in the team and foster a culture of innovation and peer review within the team to ensure best practice. Technologies: Big Data CI/CD Databricks Git Support Linux Python SQL Security Spark Web More: We are a major UK energy provider committed to 100% renewable energy and sustainability, dedicated to delivering exceptional customer experiences. This role is initially a 6-month contract with the potential to be extended, and its a full-time position. Our work environment is hybrid, requiring one day a week in our Nottingham office, but this is negotiable. We celebrate and support diversity and are committed to ensuring equal opportunities for all our employees and applicants. last updated 5 week of 2026