Are you a skilled Data Engineer with expertise in data modelling and a strong background in Microsoft Azure? Do you have a passion for working with large datasets and geospatial data? If so, we want to hear from you!A dynamic organisation is seeking a Data Engineer to join their team and help improve the performance of a critical database used for airspace risk assessment. This tool processes over 8 billion data points and is growing rapidly, providing a challenging and exciting opportunity for a data professional.Key Responsibilities:Data Modelling & Design:Develop, test, and implement conceptual, logical, and physical data models based on business requirements.Design solutions for efficient storage, retrieval, and analysis of geospatial data.Document solutions to ensure they meet project requirements and facilitate ongoing database management.Working with Microsoft Azure:Review and optimise data storage solutions within Microsoft Azure to meet business needs.Modify ETL processes in Azure to increase efficiency and ensure accurate data management.Accessing Databases:Assist team members in accessing database tables and raw files from internal systems.Advise on the best practices for managing and accessing geospatial data.Data Analysis:Conduct geospatial data analysis as required, applying algorithms developed within the team.Data Governance & Quality:Ensure data models align with data governance standards and guidelines.Perform data validation, cleansing, and implement data quality measures.Continuous Improvement:Stay current with industry trends, emerging technologies, and best practices in geospatial data analytics.Identify opportunities for process optimization and improvements.Required Skills & Experience:Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (Master's degree is a plus).Proven experience as a Data Modeler/Data Engineer, with a successful track record in data modelling and implementation.Expertise in Microsoft Azure for data management and ETL processes.In-depth knowledge of databases and data types, with experience managing geospatial data (GIS experience highly regarded).Proficiency in SQL, with additional experience in PostgreSQL or Python for geospatial analysis considered a plus.Strong analytical, problem-solving, and communication skills.Familiarity with data governance and data quality best practices.Ability to produce clear, detailed technical documentation.Desirable Skills:Experience with geospatial data analysis and geospatial data modelling techniques.Familiarity with industry standards for data governance, security, and compliance.This role offers the opportunity to work on high-impact projects, help optimise a critical tool, and contribute to the ongoing development of cutting-edge geospatial data solutions.If you are a motivated Data Engineer looking to make a real impact in the world of data and analytics, we would love to hear from you!#J-18808-Ljbffr