Our Data Engineering team is looking for an Engineer specialised in Data Streaming.

In this role, you will contribute in the design and development of Real-Time Data Processing applications to fulfil the business needs.

For any Technical Data wiz out there, Betsson Group is the next step! This is the perfect environment to put your skills to the test by building a consolidated Data Platform with innovative features and most importantly joining a bunch of talented and fun group of people.


About us..

At Betsson Group, we strive to deliver the best customer experience in the industry. We are one of the market leaders in iGaming, offering online gaming products in several markets, both through our own gaming sites as well as several partner brands. Our Product Development organisation spans across 5 locations, with the most creative teams in the industry! If you are passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you!

We are operating in a very competitive market therefore we MUST use latest technologies. Our aim is to create the best performance, functionality, and user experience in the iGaming industry! You will be part of a passionate team, which is building an industry leading, scalable, multi-brand payment platform to support 40+ online brands and 100+ payment integrations! Our brands are used by hundreds of thousands of users and growing.



  • Development and Maintenance of Real-Time Data Processing Applications by using frameworks and libraries such as: Spark Streaming, Spark Structured Streaming, Kafka Streams and Kafka Connect;
  • Manipulation of Streaming Data: Ingestion, Transformation and Aggregation;
  • Keeping up to date on Research and Development of new Technologies and Techniques to enhance our applications;
  • Collaborating closely with the Data DevOps, Data-Oriented streams and other multi-disciplined teams within Betsson;
  • Comfortable working in an Agile Environment involving SDLC;
  • Familiar with the Change and Release Management Process;
  • Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management;
  • Full ownership on Projects and Tasks assigned together with being able to work within a Team;
  • Able to document well processes and perform Knowledge Sharing sessions with the rest of the team.



  • Have strong knowledge in Scala;
  • Knowledge or familiarity of Distributed Computing like Spark/KStreams/Kafka Connect and Streaming Frameworks such as Kafka;
  • Knowledge on Monolithic versus Microservice Architecture concepts for building large-scale applications;
  • Familiar with the Apache suite including Hadoop modules such as HDFS, Yarn, HBase, Hive, Spark as well as Apache NiFi;
  • Familiar with containerization and orchestration technologies such as Docker, Kubernetes;
  • Familiar with Time-series or Analytics Databases such as Elasticsearch;
  • Experience with Amazon Web Services using services such as S3, EC2, EMR, Redshift;
  • Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana;
  • Familiar with software versioning tools like Git;
  • Comfortable working in an Agile environment involving SDLC;
  • Have a decent understanding of Data Warehouse and ETL concepts – familiarity with Snowflake is preferred;
  • Have strong analytical and problem-solving skills;
  • Good learning mind-set;
  • Can effectively prioritize and handle multiple tasks and projects.


What we offer

  • 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  🥳


Challenge accepted?

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