Data Engineer

Data Engineer Details: Location: Remote Job Type: Contract to hire Rate: Flexible Industry: Utilities We’re looking for a hands-on Data Engineer to build and optimise modern data solutions within a large-scale enterprise environment. You’ll work with Azure, Databricks, and PySpark to deliver scalable, production-ready data pipelines while supporting a growing data function. Key Responsibilities • Design, build, and maintain scalable ETL pipelines and cloud-based data solutions • Develop and optimise data processing workflows using PySpark and Databricks • Work within Azure environments to deliver reliable and high-performing data infrastructure • Collaborate with engineers and stakeholders to translate business requirements into technical solutions • Improve data quality, pipeline performance, and engineering best practices • Support evolving processes and contribute to shaping standards across the team Tech Stack Microsoft Azure | Databricks | PySpark | Python | ETL / Data Pipelines | Cloud Data Engineering Required Skills & Experience • Strong commercial experience in Data Engineering • Hands-on experience with Python, PySpark, Databricks, and Microsoft Azure • Strong understanding of ETL development, data pipelines, and distributed processing • Experience building scalable cloud-based data solutions • Comfortable working in fast-moving environments with evolving requirements • Strong communication and stakeholder collaboration skills