Senior Data Engineer (Budapest)

Senior Data Engineer (Budapest)
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The role of Senior Data Engineer will be to drive successful execution of these initiatives, participate in activities to implement robust, enterprise grade and futureproof data analytics solutions. Participate in design, implementation and lifecycle management processes of the Consumer Services Data Lake in alignment with the IT strategy to ensure the satisfaction of internal business stakeholders, employees and users of IT systems and infrastructure.


  • Maintain contemporary knowledge of IT solutions, industry benchmarks and trends in the field of data engineering and apply it in every day job
  • Participate in the execution of business, functional and BI / Big Data / IoT strategy
  • Cooperate closely with Consumer Services business to collect, reconcile, analyse and iterate business requirements and transform them into IT and functional specifications
  • Participate in building and deploying Consumer Services Data Lake infrastructure, which aims to provide large scale data solutions (batch and real-time) such as Machine Learning, traditional BI across Consumer Services
  • Perform professional execution of solution design, implementation and unit testing activities, ensure support of key users and handover of solution to IT Application & Infrastructure Operations teams
  • Perform logical / physical design, development and deployment of ETL processes and SQL / No SQL repository systems such as data warehouses, data lakes, functional data marts, data cubes, analytical data sets in both traditional BI and Big data systems in order to build a central storage for complex structured and unstructured data
  • Participate in Quality Assurance processes with dedicated attention to proper and up-to-date documentation, prepare and execute change requests, conduct 3rd level support to manage lifecycle of solutions
  • Assure that related system documentation is prepared and kept updated
  • Participate in evaluation of suppliers/vendors involved in analytics solutions and manage them during the implementation process to ensure professional execution
  • University or college degree or equivalent work experience
  • Familiar with agile, scrum or other rapid application development method
  • Higher professional in Computer Science, Computer Engineering
  • 2-4 years data engineering, data science, data warehousing or business intelligence experience
  • Deep knowledge of data modelling and understanding of algorithms and data structures
  • At least basic knowledge of Unix/Linux environments, Version Control Systems and CI/CD processes
  • At least working experiences in two of the followings:
    • Big-Data and data streaming ecosystems (HDFS, HBase, Spark, Hive, Kafka, etc.)
    • Writing complex ETL processes and RDBMS development (MS SQL Server, Oracle, Teradata, IBM DB2)
    • English (upper-intermediate)
    • Attractive benefit package
    • Flexible working hours / ordinary time between 10-15h
    • Home Office
    • Dynamically developing multinational environment



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