with analytics, product, and engineering teams to support advanced analytics and machine learning initiatives. The skills you'll need: Extensive experience designing and building large-scale data pipelines andETL processes. Strong proficiency in SQL and Python. Deep understanding of data modelling, warehousing, and performance optimisation. Proven experience with cloud platforms (AWS, Azure, or GCP) and their data services. Hands More ❯
making. Work with internal teams to understand requirements and deliver tailored solutions. Maintain and improve existing systems, ensuring scalability, security, and performance. Integrate data from multiple sources and build ETL processes where required. Contribute to IT strategy by recommending new tools, approaches, and technologies. Provide technical support and documentation for developed systems. Key Skills & Experience: Strong experience with C#/ More ❯
making. Work with internal teams to understand requirements and deliver tailored solutions. Maintain and improve existing systems, ensuring scalability, security, and performance. Integrate data from multiple sources and build ETL processes where required. Contribute to IT strategy by recommending new tools, approaches, and technologies. Provide technical support and documentation for developed systems. Key Skills & Experience: Professional experience with C#/ More ❯
making. Work with internal teams to understand requirements and deliver tailored solutions. Maintain and improve existing systems, ensuring scalability, security, and performance. Integrate data from multiple sources and build ETL processes where required. Contribute to IT strategy by recommending new tools, approaches, and technologies. Provide technical support and documentation for developed systems. Key Skills & Experience: Professional experience with C#/ More ❯
ensuring data is accurate, accessible, and high-quality - driving data-led decision making at every level. What you'll be doing: Design, build, and maintain scalable data pipelines andETL processes to support analytics and operations. Develop and optimise data models and storage solutions for performance and reliability. Ensure data quality, integrity, and security throughout the data lifecycle. Collaborate with … date with emerging technologies and recommend system improvements. The skills you'll need: Strong proficiency in SQL and experience with relational databases. Hands-on experience building data pipelines andETL processes. Proficiency in Python. Experience with cloud platforms (AWS, Azure, or GCP). Knowledge of data modelling, warehousing, and optimisation. Familiarity with big data frameworks (e.g. Apache Spark, Hadoop). More ❯
