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BI Developer / Data Engineer

DICETEK LLCDubai, UAE1 weeks agoMid-Senior
Mid-Seniorcontract

Skills

PythonSQLAWSAzurePower BITableau
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Via Indeed·

About This Role

Education

  • Bachelor's degree (minimum) in Computer Science, Data Engineering, Information Systems, Statistics, or a closely related technical field.
  • Master's degree or relevant professional certification — such as Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics, or equivalent — is strongly preferred.

Experience

  • 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.

Technical Skills — Required

  • 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, 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.

Technical Skills — Preferred

  • REST API integration and handling of JSON/XML data formats.
  • Exposure to predictive modelling or ML pipelines applied to workforce or organisational analytics.
  • Familiarity with data cataloguing and governance tools (e.g., Microsoft Purview, Collibra, or equivalent).
  • Experience managing multilingual or Arabic-script datasets.

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