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Data Engineer (Data Warehouse)Product Development

Data Engineer (Data Warehouse)Product Development

Betsson GroupBudapest
17 days ago
Job description

The Wow

In this role, you will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. You will have the chance to design new data pipelines, maintain platforms hosted both on premise and cloud, manage real-time API integrations and apply transformations on data streams for batch-loading and real-time visualisations.

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.

A taste of what you will be involved in

  • Maintaining and evolving our existing data platform;
  • Involved in data integrations which includes internal data, 3rd parties, and also migrations;
  • Ingestion of streaming data and applying transformations to data streams;
  • Being involved in data modelling following data standards such as Inmon and Kimball
  • Ensuring data quality by verifying data consistency and accuracy;
  • Keeping up to date on research and development of new technologies and techniques to enhance our data platform;
  • Collaborating with the Data DevOps, Business Intelligence 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.

What we are looking for

  • Experience with modern cloud database technologies such as  Snowflake ;
  • Experience with orchestrating data pipelines using  Airflow ;
  • Experience with  SQL , and  Data Integration Tools ;
  • Experience with any  programming language  like Python or Java;
  • Knowledge on  AWS Services  like S3 / Lambda / API Gateways / DMS / RDS;
  • Development experience in both  Microsoft , and  Linux / Cloud  environments;
  • Have strong analytical and  problem-solving skills ;
  • Familiar with Data Warehousing concepts and data modelling techniques such as  Inmon, Kimball, Data Vault ;
  • Familiar with data streaming using technologies such as  Kafka ;
  • Familiar with software versioning tools like  GIT ;
  • Familiar with infrastructure scripting like  Terraform ;
  • Familiar with data flow systems such as  Apache NiFi ;
  • Familiar with Data Monitoring and Visualisation tools such as  Prometheus  and  Grafana ,  Cloudwatch ;
  • Scripting – Powershell, Unix Scripting
  • 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
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