Data Engineer

Service Management: Support Chief Data Officer and Enterprise Data Architect in maintaining the L&SC Secure Data Environment. Develop and manage complex ETL and ELT processes for data models. Provide technical support for database applications and quality assurance of data. Ensure timely dataset delivery and support documentation processes. Manage system administration, addressing issues and conforming to data model changes. Collaborate proactively to meet data requirements for analysis and research. Provide complex datasets for internal and external use, advising stakeholders on data management. Support change control processes and inform Enterprise Data Architect of issues. Assist in managing changes within the Secure Data Environment and oversee data quality functions. Maintain and improve the Secure Data Environment, ensuring compliance with regulations. Manage informatics projects and liaise with internal and external stakeholders. Service Development: Support design, development, and implementation of information feeds and data models. Assist in the identification, design, and implementation of new data feeds and models. Support options appraisals, procurement, and implementation of new technologies. Review emerging technologies and develop business cases where relevant. Engage with stakeholders to identify requirements and ensure solutions meet business needs. Test hardware and software applications for quality assurance before going live. Data Quality: Support Information Governance Standards compliance. Promote understanding of data quality throughout L&SC and academic partners. Be aware of and promote national and local data policies and initiatives. Ensure data maintenance aligns with national definitions and standards, identifying and resolving data quality errors.