The role
We are currently looking for BI Data Engineer to fill a permanent position in the BI & Reporting team. The successful candidate will work in a team managing data in a data warehouse solution and make it possible for the organisation to get the most out of the data in terms of reporting, statistics and form the basis of the decision making and analytical processes.
In this role, you will be part of the BI & Reporting team responsible for managing reporting solutions and tools in the data warehouse environment. It involves setting up and maintaining data aggregates, scheduled jobs, building and managing Oracle APEX reports, Qliksense reports & setting up new streaming jobs on Kafka in AWS environment. It is required to interact with other departments to gather requirements and implement and support solutions.
Our vision is to drive and support Kindred to become and to be recognized as the most data-driven gambling company in the world!
If you have enterprise experience with designing data solutions, are up to date with tools, technologies and best practices, enjoy the challenge to be part of designing our new data platform and also have great communication and collaboration skills this could be the role for you!
Key accountabilities of this role are:
Who we think you are?
Application process
Click on the "Apply Now" button and complete the short web form. Please add a covering letter in English to let us know your motivation for applying and your salary expectation. Our Talent Acquisition team will be in touch soon.
Kindred is an equal opportunities employer committed to employing a diverse workforce and an inclusive culture. As such we oppose all forms of discrimination in the workplace. We create equal opportunities for all our applicants and will treat people equally regardless of and not limited to, gender, age, disability, race, sexual orientation. We are committed not only to our legal obligations but also to the positive promotion that equal opportunities bring to our operations as set out in our sustainability framework.
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