Data Engineer

Up to 57,000
Johann Sammut Mifsud
Job Ref
  • International brand
  • Relocation support
  • Free Parking
Job Description:

Being a market leader means we always need to stay ahead. As a Data Engineer (m/f/x), you will be part of our strategic data team pioneering artificial intelligence concepts and cutting-edge data warehousing techniques, processing millions of transactions every day in low latency. At Tipico, we process terabytes of data every day, related to all areas of the business – such as bookmaking data, web analytics, CRM data, and much more.
Your playing field:
  • You will create and maintain both batch (ETL) and real-time data pipelines and architecture.
  • We are continuously becoming more data-driven – you will assemble large and complex data sets that meet our functional and non-functional business requirements.
  • Innovation drives us and we are continuously reinventing ourselves. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • You’re involved in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Our focus is on gaining insights that will change the way we look at sports betting, the tools you will build will provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Collaborate with your stakeholders including data architects, Executives, Product, Data, and IT team members from the beginning to the delivery of your projects.
  • 3 years of work experience. That is relevant for us and this position.
  • Cloud data services. Such as AWS services as S3, Athena, EC2, RedShift, EMR, and Lambda.
  • Large-scale production databases and SQL. 
  • Time-series/analytics databases. Such as Elasticsearch.
  • ETL. Experience with ETL development (extractions, data load, aggregation, Talend, etc.).
  • Big Data. You have worked with or are familiar with big data technologies such as Hadoop, NIFI, Kafka, Spark, and Hudi.
  • Docker/Kubernetes. You have familiarity with containerization and orchestration technologies like Docker/Kubernetes.
  • Strong analytics skills and the ability to innovate. We need you to come up with the best solutions for us that will push us forward.
  • Fast learner. Working in a fast-paced environment requires us to learn new and complex concepts and be resourceful!
  • Collaborative. Share your ideas! We want you to engage in our interactive discussions within our team and clearly communicate technical concepts.
  • Relocation Support 
  • Sports incentives 
  • Free parking
  • Modern offices
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Johann Sammut Mifsud
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