Qualifications

• Minimum 5 years of professional experience in data engineering, BI development, or a closely related data-intensive technical role.
• Demonstrated experience building and maintaining production-grade data pipelines and interactive dashboards in an organisational setting.
• Prior experience working with HR, workforce, or public sector data is a significant advantage.
• Experience supporting strategy, research, or policy teams with data infrastructure — not only operational or finance reporting — is highly desirable.
• Advanced proficiency in SQL: complex queries, query optimisation, window functions, stored procedures, and schema design.
• Strong Python skills for data engineering tasks: data wrangling, pipeline scripting, API consumption, and automation (pandas, PySpark, or equivalent).
• Hands‑on experience with Power BI (preferred), Tableau, or Qlik — including advanced DAX measures, calculated colum...