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Data Engineer

Nourish Care
Westbourne
9 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Our Purpose Nourish Care is a leading digital social care record company and is dedicated to harnessing data-driven insights to propel innovation and drive business growth. We are seeking a talented and experienced Data Engineer specialising in data using Azure Synapse to join our dynamic team. This role offers an exciting opportunity to use our fast amount of data to provide insightful information into the care providers we support. As a current market leader, Nourish Care provides a digital solution to the health and social care sector which enhances the process of recording, analysing, and sharing of information. We are in the midst of one of the most exciting times in our history and while we are the current market leader in the sector we will not become complacent. We are dedicated to our purpose of a better life for everyone. We continue to revolutionise the care sector and our incredible employees are what make this possible. About the Job As a Data Engineer specialising in Azure Synapse Data Pipelining, you will play a pivotal role in designing, developing, and maintaining data movement pipelines using Azure Synapse to facilitate the smooth transfer of data across our internal systems. You will collaborate closely with our already well established team and process to ensure the timely and accurate movement of data to support various business operations and analytical initiatives. The role and your responsibilities Design, develop, and implement data movement pipelines leveraging Azure Synapse to transfer data efficiently and securely between internal systems. Collaborate with stakeholders to understand data model requirements and translate them into technical solutions. Design and develop robust data models tailored to the health and social care domain, enabling effective analysis and insights generation to address critical healthcare questions. Optimise and streamline data movement processes to enhance performance and reliability. Develop and maintain documentation related to data movement pipelines and data models, ensuring clarity and accessibility for stakeholders. Monitor data movement pipelines for performance issues and troubleshoot and resolve any issues that arise in a timely manner. Ensure compliance with data governance and security policies throughout the data movement process. Stay abreast of the latest developments in Azure Synapse and related technologies to continuously improve data movement capabilities and data modelling techniques. Required experience Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred. Proven experience as a Data Engineer with a focus on using Azure Synapse or similar technologies. Strong proficiency in SQL and experience with data modelling concepts. Hands-on experience with Azure Synapse, including familiarity with Synapse SQL, Apache Spark pools, and data integration capabilities. Experience with ETL/ELT processes and tools such as Azure Data Factory. Solid understanding of cloud computing principles and experience with Azure services. Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication and collaboration skills with the ability to work effectively in a cross-functional team environment. Experience with Agile development methodologies is a plus. Azure certifications related to data engineering or analytics are desirable. Join us in our vision to unlock the power of data and drive innovation through seamless data. If you are passionate about leveraging cutting-edge technologies to solve complex data challenges, we want to hear from you As an employer, we offer all the support and development our employees need to grow their skills and expertise and we foster a culture of collaboration and contribution. Nourish Benefits: 25 Days paid leave Public holidays Private Medical Insurance Group Life Assurance Dental Cover Optical Cover Enhanced Maternity leave Pension Contribution Employee Assistance Programme Birthday Day off and many more

National AI Awards 2025

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