Data Engineer - Real-time
At a glance
Mid-level Data Engineering role at Betsson Group. Budapest.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build reusable services for bringing data in, transforming it and processing it at scale
- Maintain platform features for orchestration, data quality checks and schema management
- Update the platform architecture to improve scale, reliability and cost efficiency
- Work with Data DevOps Engineers to automate, monitor and deploy platform features through CI/CD
- Help shape the platform roadmap by prioritizing improvements for its users
What you bring
- A computer science or engineering degree, or an equivalent qualification
- At least three years building and running real-time data platforms or streaming applications
- Strong skills in a programming language such as Python, Scala or Java, plus SQL and data integration patterns
- Practical experience with Kafka, distributed processing in Spark, and AWS event-driven architectures
- A track record of creating reusable frameworks, libraries or internal tools
Who this fits
This mid-level role suits someone who combines software and data engineering to build streaming platforms and internal tools. The role is based in Budapest and follows a hybrid schedule, with three office days and two days working from home.
From the employer
The Wow
This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences.
You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence.
A taster of what you will be involved with:
- Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing.
- Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools.
- Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness.
- Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD.
- Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users.
What we are looking for:
Must haves:
- University Degree in Computer Science, Engineering or equivalent.
- At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications.
- Strong software engineering fundamentals, with experience in a language like Python, Scala or Java.
- Experience building reusable frameworks, libraries, or internal tools.
- Deep knowledge of SQL and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
- Experience with data streaming technologies such as Kafka is a must.
- Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala).
- Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge.
- Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB.
- Excellent verbal and writing English communication skills.
Nice to have:
- Familiarity with real time reporting tools like Grafana or Datadog
- Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
- Knowledge AWS services like Glue, Lambda, Step Functions and S3
- Experience with orchestrating data pipelines using tools like Airflow.
- Experience building or managing APIs and microservices.
- Familiarity with infrastructure scripting like Terraform and CI/CD practices.
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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