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The Department of Customer Service is seeking a highly motivated Senior Data Engineer to join their team on a contract basis. This role is pivotal in driving the end-to-end data engineering strategy, utilising the latest Microsoft technologies to transform raw data into actionable insights. You will be joining a flexible and supportive environment, working to build and maintain robust data platforms. As a creative problem solver, you will bridge the gap between complex data systems and business needs, ensuring high-quality datasets support reporting, analytics, and machine learning initiatives.
Job Responsibility:
Drive the end-to-end data engineering strategy using Microsoft technologies
Build, maintain, and scale data pipelines and platforms to ensure efficient data flow
Design and execute ELT/ETL workflows to transform raw data from disparate systems into structured, high-quality datasets optimised for PowerBI, reporting, and machine learning
Work cross-functionally with Data Analysts and Business Analysts to understand database requirements, partitioning strategies, and business logic
Implement strong data governance and compliance measures
Stay abreast of industry trends and best practices to drive continuous improvement initiatives within the data engineering function
Utilise Excel, Power Query, and VBA to handle automation tasks and connectors where required
Requirements:
Minimum Bachelor’s degree in Computer Science, Software Engineering, or Information Systems
5+ years of professional experience as a Data Engineer
Hands-on experience building scalable data pipelines and ELT/ETL workflows specifically using Microsoft Fabric to optimise datasets for PowerBI
Strong proficiency in SQL and at least one other programming language commonly used for data engineering (e.g., Python, Java, Scala)
Proven background in documentation, security, and compliance, specifically with experience in Microsoft Purview and Azure Key Vault
Advanced skills in Excel, including Power Query, VBA automation, and connectors
A creative problem solver who can think critically to resolve complex data challenges
Ability to stay updated with industry trends and integrate new best practices
Strong ability to collaborate with non-technical stakeholders and technical teams alike
Nice to have:
Microsoft Certified: Data Engineering on Microsoft Azure (DP-700 or equivalent)
Microsoft Certified: Administering Relational Databases on Microsoft Azure (DP-300)