Job Description

What You Will Do


  • Partner with business stakeholders to translate requirements into technical solutions

  • Design, build, and maintain data pipelines and prototypes to analyze large-volume transactional data

  • Develop and optimize solutions using Databricks, PySpark, Python, SQL, and Azure Data Factory

  • Ensure data quality, accuracy, and consistency of financial data

  • Troubleshoot data issues end-to-end and identify root causes

  • Collaborate with IT, architects, and analysts to align with platform standards

  • Document data flows and support continuous improvement of data processes

  • Develop and enhance a central cloud data model enabling standardized, cross country analytics

    • What You Bring

  • Degree in Computer Science, Engineering, Business Informatics, or a related field with a strong interest for finance, data and technology

  • Strong experience as a Data En...

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