Business Intelligence Engineer at Kaizen Gaming

Read by 131 job seekers.

, United Kingdom

We are Kaizen Gaming

Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in the world, operating in 13 markets with 2 brands, Betano & Stoiximan.

We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.

We are a diverse team of more than 2.200 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to press play on potential?

Let's start with the role

We are looking for an outstanding Business Intelligence Engineer to join our fast-growing BI & Analytics team and drive expansion for the departments across Kaizen Gaming in the next phase of an exciting scale-up data journey. You will be mainly focusing, but not limited to, on topics relevant to design, implementation and maintenance of systems used to collect and analyze business intelligence cross-divisional data.

As a Business Intelligence Engineer you will

Manage, optimize & monitor complex ETL jobs with a focus on scalability and efficiency;
Monitor system audits, dashboard reporting and presentation layer functioning and performance;
Lead the BI software development, deployment and maintenance;
Propose and implement data schema and data flow optimization for BI department reporting needs;
Establish business requirements for BI tools, translating them into technical ones;
Enhance documentation on Data Lake architecture;
Collaborate closely with both internal and external teams to understand and apply changes/modifications impacting Data Lake;
Participate in the BI Governance strategy.

What you’ll bring

Bachelor’s/Master’s degree in a quantitative discipline such as computer science, engineering, statistics & mathematics or similar;
3+ years working experience in a engineering, reporting, or quantitative role;
Exceptional ability to formulate business requirements for BI tools (PowerBI, Tableau etc) and to translate business requirements into technical ones;
Experience with Spark and Python;
Experience with Databricks is strongly preferred;
Hands on experience in highly-optimized SQL scripts in large-scale data structures and OLAP cubes;
Exceptional skills in debugging and troubleshooting;
Detail-oriented with the ability to prioritize, meet deadlines and identify opportunities with limited oversight;
High drive, can-do attitude, proactive and flexible to changing business demands.

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