3 Data Pipeline Jobs in Gloucestershire

Azure Data Engineer Perm Cheltenham/Hybrid working (2/3 days per week onsite) Up to £65,000pa Candidates must be eligible for SC Clearance We're in search of an exceptional Azure Data Engineer to join our Engineering Team. As a member of our … re seeking a Data Engineer with a focus on Azure, showcasing proficiency in: · Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. · Utilizing Azure data and analytics services, including … but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. · A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing. · Designing and deploying production data more »

Head of Data 4 days a week/Gloucestershire Up to 100k Austin Fraser is working with a leading hospitality group, keen to bring on a Head of Data to make the chains within the groups more data driven. This is a new role … through growth and well suited to an individual with a mix of data, analytics and business acumen. They're looking for someone who is keen to remain hands-on and has strong experience working with Python, Azure and a strong understanding of data security and privacy … package which includes 33 days holiday, private medical insurance and stakeholder pension scheme. The role: Work alongside systems engineers to create and deploy data pipelines, data warehouses, and data lakes. Create and implement a robust data architecture strategy that aligns with business more »

Responsibilities: As a pivotal member of our rapidly expanding business, your role involves: Designing and Maintaining Data Architectures and Pipelines: Create and optimize robust data architectures and pipelines. Assemble intricate data sets that align with both functional and non-functional business requirements. Identify opportunities … to acquire new data from various systems. Enhancing Processes: Develop and refine data set processes for effective data modeling, mining, and production. Build the necessary infrastructure for seamless data extraction, transformation, and loading from diverse data sources. Data Reliability and Efficiency: Recommend and implement strategies to enhance data reliability, efficiency, and quality. Collaborate with Data Scientists and Machine Learning Engineers to construct analytics tools that leverage the data pipeline. These tools provide actionable insights related to asset management, operational efficiency more »