Job Description
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 columns, a...
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