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Data Engineer for Data Warehouse

  • Location


  • Sector:


  • Contract Type:

    Contract (Assignment-based)

  • Salary:

    Attractive packages depending on experience

  • Contact:

    Joseph Glynn

  • Job Reference:


  • Published:

    about 1 year ago

  • Expiry:

    21 Feb 00:00

  • Consultant:

    Joseph Glynn

A leading iGaming client is looking for an individual to join their Data Warehouse team that wants to succeed in a high-performance environment.


Includes but not limited to:

  • You will be responsible for maintaining and evolving our existing data warehouse, develop data models and ETL and ensuring data consistency;
  • You will be working closely with the Business Intelligence and Big Data teams in the delivery of application and expanding our platform (using Big Data technology) to support the data requirements of the different departments and brands;
  • You will be involved, in data Integration which includes internal data, 3rd parties, and migrations;
  • Involved with Data Modelling, OLAP Cube Development and verifying data consistency and accuracy;
  • Keeping up to date on research and development of new technologies and techniques to enhance our data platform;
  • Collaborating with the Data DevOps, Business Intelligence, Big Data and Analytics teams.


  • You are an enthusiastic developer with experience in Data Warehousing and Business Intelligence;
  • You will ideally have a Bachelor or Master's degree in a relevant technical area;
  • Possess excellent English communication skills and enjoy working in a large team;

Moreover, you would:

  • Think of SQL while having breakfast;
  • Have an advanced understanding of data warehouse and ETL concepts;
  • Have strong knowledge of data modelling and database architecture;
  • Have strong analytical and problem-solving skills;
  • Have the ability to effectively prioritize and handle multiple tasks and projects;
  • Have development experience in a Microsoft environment (SQL Server, SSIS, SSAS);
  • Have experience with data Integration tools (preferably SSIS), Data Warehouse modelling (Kimball);
  • Be familiar with at least one Object Oriented Language (.NET, Java, Python);
  • Be experienced and knowledgeable in core database development tuning techniques;
  • Be experienced with or have an understanding of big data technologies (Hadoop, HBase, Hive, Pig etc.);
  • Be a fan of working in agile scrum environments

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