Key technologies for Data Engineers
In the competitive landscape of the Data job market in the United Kingdom, certain technologies stand out as essential tools for professionals. SQL leads the way with a remarkable frequency of 11,974, highlighting its critical role in database management and data manipulation. Python follows closely with 14,061 mentions, making it a preferred programming language among Data Engineers and Data Developers alike. In addition, AWS and Azure, with 3,223 and 3,067 occurrences respectively, underscore the growing reliance on cloud platforms for data storage and computing resources. Furthermore, ETL technologies, which appear 4,460 times, are crucial for data integration processes, while Data Engineering is a core focus area with 4,059 mentions. The accompanying chart illustrates these key technologies and their prevalence, offering insights into the tools that are shaping recruitment strategies for CTOs and hiring managers across the UK's tech sector.