2 of 2 Remote Data Governance Jobs in Bedfordshire

Key Responsibilities: Data Pipelines and ETL Processes ETL Design: Design and implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools … like Apache Spark to ensure seamless data flow. Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery processes to maintain data integrity. Azure Services Utilise Azure Cloud based data technology platforms, Data Lake based storage & Cloud data pipeline/orchestration tools for efficient data storage … processing, and transfer. Ensure the scalability and reliability of data solutions using Azure's suite of services. Collaboration and Leadership Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. Provide technical leadership and mentorship to junior data engineers, fostering a culture of continuous learning and More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams through training sessions … and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and building models from scratch Solid understanding of More ❯