Data Engineer (Risk and Compliance)

Madrid Permanente

Added 15/04/2021

  • Multinational Financial Services (Final Company)
  • Data Engineer

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Multinational Financial Services Company (Final Company)


The Data Engineer will have the following responsibilities:

  • Understand business data to propose accurate and useful reporting capabilities for the business stakeholders
  • Interpret data, analyze results using statistical techniques and provide automated checks to ensure quality and accuracy
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Include technological change into the projects, services and products
  • Share expertise, priorities and ideas with peers to find the best solutions
  • Dictate technical standards, including coding standards, tools, or platforms
  • Provide code templates or libraries to smooth development
  • Include technological improvement proactively in all projects

Perfil Buscado (H/M/D)

Tha Data Engieer will have the following skills:

  • Minimum 3 years of experience in similar role
  • Expertise on ETL flows, Data Factory, Python, Scala, SQL in Cloud Environments
  • Experience in Business Intelligence (Data Warehouse, Reporting, Data Quality)
  • Knowledge of Microsoft Azure, Big Data Infrastructures and Power BI
  • Knowledge of legacy ETL processes with Power center and Reporting with SAP BO is a plus

Technical requirements:

  • Programming skills mainly with Python and/or Scala in an Azure Databricks cluster. C# is a plus
  • Data management skill with SQL (SQL Server/Oracle) and HIVE in a Datalake
  • Azure Data Factory, Azure Analysis Services and Power Center is a plus
  • Fluent English (C1)


  • Excellent verbal and written communication skills
  • Critical thinking and problem solving
  • Analytical thinker
  • Adaptability
  • Innovation and research

Qué ofrecemos

Interesting professional opportunity

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Edurne Aguirre Zubiaurre
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