The Data Engineer in the Enterprise Integration Team is responsible for designing, developing, and maintaining data integration solutions that connect on-premises and cloud-based enterprise applications, leveraging Microsoft Azure tools and technologies.
This role involves creating efficient data pipelines, ensuring data quality, optimising performance, and adhering to security and compliance standards. The Data Engineer collaborates with cross-functional teams, troubleshoots integration issues, and continuously seeks opportunities for improvement while staying current with emerging data engineering trends and best practices, contributing to the agency’s data-driven success.
Duties and Responsibilities
The Data Engineer will be responsible for, but not limited to:
Collaborate with team members and stakeholders to design data integration solutions that meet business requirements, utilising Microsoft Azure tools such as Azure Data Factory and SQL.
Develop, implement, and maintain ETL pipelines to ensure efficient and secure data transfer between various systems, adhering to best practices for data processing and transformation.
Design and maintain data models, ensuring data accuracy, consistency, and availability while considering scalability and performance optimisations.
Implement data validation and quality checks to identify and rectify data anomalies, errors, and inconsistencies within integrated systems.
Continuously monitor and optimise data integration processes to enhance performance, reduce latency, and minimise resource consumption.
Create and maintain comprehensive documentation for data integration solutions, including technical specifications, data flow diagrams, and operational procedures.
Work closely with cross-functional teams, including developers, and system analysts, to understand data requirements and ensure integrations align with business objectives.
Troubleshoot and resolve data integration issues, working collaboratively with the team to implement effective solutions and prevent recurrence.
Stay updated on emerging technologies and industry trends related to data engineering and integration, applying this knowledge to improve integration processes and tools.
Perform additional duties or assume responsibility of functions as directed from time to time
