Data Engineer at Betsson Group

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Database Technologies, Data Pipelines, AWS Services, SQL, Python, Scala, Data Integration Tools, Data Quality, Data Modelling, Apache Iceberg, Airflow, Spark Structured Streaming, Kafka, Troubleshooting, Documentation

Industry

Entertainment Providers

Description

The Wow This role will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. Within this capacity you will have the chance to design new data pipelines, maintain platforms hosted on data streams for batch and real-time loading and real-time visualisations. A taster of what you will be involved with: Maintaining and evolving our existing data platform; Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect. Development and Maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams. Applying transformations to data streams; Being involved in data modelling following standards e.g. Inmon, Kimball, Data Vault; 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; 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 Must haves: Experience with modern cloud database technologies such as Snowflake; Experience with orchestrating data pipelines using Airflow; Experience with AWS Glue; Experience with Apache Iceberg; Experience with SQL, and Data Integration Tools Experience with any programming language like Python or Scala; 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 Nice to have: Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault; Familiar with AWS Services such as MSK and EMR; Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with Time-series or Analytics Databases such as Elasticsearch; 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 Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch; Scripting – Powershell, Unix Scripting; At least 2 years experience in Data Engineering; Excellent verbal and writing English communication skills; Good learning mindset; Able to set priorities and multitask 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 🥳 Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Responsibilities

The Data Engineer will design and develop the platform to meet business needs, focusing on data pipelines and real-time visualizations. Responsibilities include maintaining the existing data platform and ensuring data quality and consistency.