We're looking for someone with a strong blend of both Data Engineering and Business Intelligence expertise. This is not a purely engineering-focused role; candidates must be comfortable working across the full data lifecycle, from building robust data pipelines and data models through to enabling reporting and analytics capabilities. Key requirements include: Strong Data Engineering experience (ETL/ELT, data modelling, data warehousing, cloud data platforms) Hands-on Business Intelligence experience Experience with Sigma is highly desirable As Sigma is still relatively new in the market, experience with other leading BI platforms such as Power BI, Tableau, Looker, Qlik, or similar will also be considered Strong stakeholder engagement skills and the ability to translate business requirements into technical solutions Experience working in modern cloud-based data environments We're particularly interested in candidates who can bridge the gap between data engineering and analytics, helping...