Sportsbook - Data Engineer

Our Sportsbook Data Team is looking for a Data Engineer to make a difference in the further development of our Data Warehouse solutions, designing and developing our Sportsbook data platform to cover both internal and external business needs. We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens.

Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen Our aim is to create the best performance, functionality and user experience in the iGaming industry As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value.

Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you'll fit right in at Betsson.

• Maintaining and evolving our Data Structures
• Build new ETL flows and maintain/improve existing ones
• Be part of designing new data structures and data modelling concepts
• Ensure data quality by verifying data consistency and accuracy – being able to create data validation methods
• Write, optimize, and maintain stored procedures
• Investigate, assess, and develop message-based architectures for data streams
• Comfortable working under Agile Framework (Scrum 2-week iterations)
• Have an investigative mindset to be able to troubleshoot – being creative when it comes to troubleshooting problems and incident management
• Document necessary processes and procedures (creating KBs, runbooks, topology etc)
• Taking full ownership of projects and tasks with being able to work within the team
• Work closely with stakeholders to deliver accurate and timely insights to our business partners

• Advanced T-SQL Coding and Python for data engineering is a must
• Relational and non-relational DBs (proven experience in MSSQL 2014 – 2019)
• Familiar with cloud-based ETL tools (AWS Glue or Azure data factory)
• Familiar with DWH and ETL concepts
• Familiar with Data Modelling concepts
• Familiar with Reporting and Analytical Tools (Snowflake, PowerBI) , previous BI experience is considered a plus
• Familiar with Amazon Web Services or similar cloud environments, cloud data engineering certifications will be a plus
• Familiar with software versioning tools like Git
• Be experienced and knowledgeable in core database development tuning techniques
• Automation scripting and experience with SQLServer and PostgreSQL will be a plus
• Additional programming skills will be a plus (.NET, Python, R, Scala)
• Knowledge around Big Data concepts and data streaming architectures will be a plus
• Experience in sportsbook/betting or fintech sectors is considered a plus
• Continuous learning mindset
• Can effectively prioritize and handle multiple tasks and projects
• Excellent verbal and written English communication skills

• Fitness-wellness allowance 
• Company mobile phone for private use with 100 GB 
• Annual HUF devaluation compensation 
• Hybrid model: 3 days in the office   & 2 days from home 
• Private Health Insurance 
• Career development 
• Technical and soft-skill training opportunities 
• Breakfast, fruits & lunch 
• Team building events  

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