Se­nior Da­ta­ En­gi­nee­r (al­l ­gen­der­s)

• Degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years of experience in data engineering, ideally in a risk, finance, or BI context
• Strong proficiency in Python, SQL, and Apache Spark
• Hands-on experience with Databricks, Delta Lake, and Azure or similar cloud platforms
• Solid understanding of how data supports risk modeling, analytics, or business intelligence
• Experience with data quality monitoring, automated testing, and alerting frameworks
• Pragmatic, solution-oriented mindset with a strong focus on automation and operational excellence
• Excellent communication skills and ability to work cross-functionally in a regulated environment

• Redesign and automate the provisioning of high-quality, reliable data for risk models and BI applications
• Build and maintain scalable data pipelines using Python, Apache Spark, and Databricks, integrated with local database systems
• Collaborate with model developers, BI analysts, and risk experts to understand data needs and ensure seamless data delivery
• Implement daily data monitoring and validation routines to ensure data integrity and early detection of anomalies
• Ensure compliance with internal data governance and regulatory expectations
• Drive automation, standardization, and reusability across the data lifecycle
• Document technical solutions and contribute to a culture of knowledge sharing and continuous improvement

• Be part of a forward-thinking environment where your expertise directly shapes the future of risk data and analytics
• Flexible working hours, hybrid work options, and a culture that values your well-being
• A culture of learning, knowledge sharing, and innovation
• Discover and enjoy the benefits of Erste Bank
• The minimum wage for this full-time position in accordance with the collective agreement with complete fulfillment of the functional profile is EUR 55.176,52 gross per year. But this is just a formality - we would be happy to talk about your actual salary in person!
• We offer our employees the opportunity to divide their hours between working from home and at the office.
• We consider the diversity of our employees as key to innovation and success. As employer we are proud to offer everyone equal chances, irrespective of age, skin colour, religious belief, gender, sexual orientation or origin.

Contact Anne Frank