Data Engineer

Professional experience in data engineering, BI development, or a closely related data-intensive technical role.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.Technical Skills — RequiredAdvanced 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, and report performance optimisation.Experience with cloud data platforms: Azure (preferred — Azure Data Factory, Synapse Analytics, Azure SQL), AWS, or GCP.Solid grounding in data warehousing concepts: dimensional modelling, star/snowflake schemas, slowly changing dimensions, and partitioning strategies.Experience with ETL/ELT orchestration tools such as Azure Data Factory, dbt, Talend, Informatica, or equivalent.#J-18808-Ljbffr