Data Engineer in Test (Hybrid)
Budapest, Budapest, Hungary
SEON Technologies
Real-time fraud prevention and AML compliance, using advanced digital footprinting, fully customisable rules and machine learning.SEON is the leading fraud prevention system of record, catching fraud before it happens at any point across the customer journey. Trusted by over 5,000 global companies, we combine your company’s data with our proprietary real-time signals to deliver actionable fraud insights tailored to your business outcomes. We deliver the fastest time to value in the market through a single API call, enabling quick and seamless onboarding and integration. By analyzing billions of transactions, we’ve prevented $200 billion in fraudulent activities, showcasing why the world’s most innovative companies choose SEON.
Your role as a Data Engineer in Test is to ensure high-quality data pipelines, transformations, and integrations by developing robust automated tests and validation frameworks. You will support our data engineering teams in delivering reliable, accurate, and scalable data solutions.
What you'll do:
- Design, implement, and maintain automated test frameworks for data pipelines and to validate data integrity, schema conformity, and transformation logic.
- Collaborate with data engineers, analysts, and QA to identify quality risks and testing requirements.
- Perform root cause analysis of data quality issues and work with teams to resolve them.
- Monitor data pipelines in production to detect anomalies and data quality regressions.
- Implement synthetic and real-world data tests across various ingestion layers.
- Integrate test frameworks with CI/CD pipelines for continuous validation.
- Contribute to data quality metrics and dashboards for visibility and alerting.
What you'll bring:
- Proficient in Python or Scala, especially for data manipulation and test scripting.
- Strong experience with SQL for writing test queries and validating large datasets.
- Familiarity with data pipeline tools (e.g., Apache Spark).
- Understanding of data warehouse technologies (e.g., Snowflake).
- Experience with CI/CD tools (e.g., GitHub Actions) and version control (Git).
- Comfortable working with cloud platforms (e.g., AWS,) and data storage systems (S3).
Nice to have:
- Experience with CI/CD
- Experience with non-functional testing (eg. load, performance, stress, pen)
- Docker / Containerization
- Experience with testing web-based products
What’s next:
Does that sound good to you? Great, we can’t wait to hear from you! Would you like to learn more about what it’s like to work at SEON first?
👉 https://seon.io/careers/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS CI/CD Data pipelines Data quality Data warehouse Docker Engineering Git GitHub Pipelines Python Scala Snowflake Spark SQL Testing
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