We are looking for an engineer to join the Data Engineering team!

Our vision is to drive and support Kindred to become and to be recognised as the most data-driven gambling company in the world! To support this, we are constantly exploring and making improvements to our platform's capabilities. As a member of Data engineering team, you will be instrumental in driving this progress and support our next generation of products and data initiatives.

 What you will do

• Design, enhance and implement data ingestion from both internal and external sources for our Oracle based data warehouse
• Develop and optimize PL/SQL code
• Collaborate with business and technology stakeholders to ensure the development and usage of data warehouse architecture
• Integrate data warehouse with the Big Data platform
• Deliver high-tech data foundations for reporting and analytics purposes
• Quality check, unit test and document all new and existing processes
• Work in an Agile way with open communication, while delivering top quality products and service
• Strive to share knowledge and improve by learning from other members of the team

How will success be measured in this role?

• Regular performance reviews with your line manager
• Acting in line with Kindred Group values
• Successful completion of all relevant training and other compliance activities that support Kindred's sustainable and responsible growth

Your experience

• 5+ years of professional experience as a data warehouse developer
• Oracle SQL and PL/SQL development skills
• Proven understanding of data warehouse design and concepts (Kimball, Inmon)
• Implementation of ETL processes and data structures
• Handling of large volumes of data sets
• Full understanding of the data requirements of engineering and business stakeholders

An advantage

• Experience with AWS cloud data warehouse solutions
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with object-oriented/object function scripting languages: Python,Scala, etc. 
• Experience on Kafka, Spark

Application process

Click on the "Apply Now" button and complete the short web form. Please add a covering letter to let us know your motivation for applying and your salary expectation.  Our Talent Acquisition team will be in touch soon.

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