Data Engineer for Databricks Platform (all humans)
Erste Digital GmbH Vienna, Austria · €52K–€75K/yr
IT Services and IT Consulting · 1,001-5,000 employees
About the role
You will design, build, and maintain end-to-end data ingestion pipelines while optimizing solutions on the Databricks platform. Additionally, you will troubleshoot data quality incidents and contribute to infrastructure-as-code and CI/CD improvements.
What they look for
Requirements
Candidates must have 2–5 years of experience in data engineering with strong proficiency in SQL, Python, and Databricks/PySpark. A solid understanding of ETL/ELT processes, cloud platforms like AWS or Azure, and software engineering best practices is required.
Benefits
Full description
Make a difference in the financial life of millions of people: At Erste Digital you are co-creating the digital future, in which better financial health is possible. #believeinyourself
We are part of Erste Group – the largest banking group in Central and Eastern Europe with more than 2,500 branches and over 45,000 employees. Our more than 2,000 IT experts and enthusiasts are the bank's Digital Muscle.
What to do:
- Work hands-on with the Databricks platform, PySpark, and Delta Lake to build and optimize data solutions
- Manage, operate, and continuously improve a centralized data ingestion framework
- Design, build, and maintain data ingestion pipelines end-to-end
- Troubleshoot and resolve data quality incidents in collaboration with data consumers and stakeholders
- Develop and implement data quality frameworks and monitoring solutions
- Expand platform capabilities by evaluating, testing, and adopting new Databricks features
- Contribute to infrastructure-as-code practices and CI/CD pipeline improvements
- Mentor junior team members and support knowledge sharing within the team
You check these boxes:
- 2–5 years of experience in the recent years in data engineering or a similar role
- Recent active and direct work experience with SQL and Python for data processing, transformation, and analysis & with Databricks and/or PySpark (Delta Lake, Spark SQL, structured streaming)
- Good understanding and expertise in data ingestion patterns, ETL/ELT processes, and data modeling fundamentals
- Experience with software engineering best practices: version control (Git), code reviews, CI/CD pipelines
- Familiarity with cloud platforms, preferably AWS and/or MS Azure
- Strong analytical and problem-solving skills
- Clear verbal and written communication; ability to interact with both technical and business stakeholders
- Systematic, collaborative approach with a continuous learning mindset
- Solid documentation practices
- Not mandatory but beneficial: experience with HashiCorp Terraform, DataOps/MLOps practices, Unity Catalog, workflow orchestration tools
- Language skills: English professional proficiency; German (e.g. B2) is a plus
Why you will like us:
- Possibility to benefit and learn from our international, talented and passionate community at Erste
- Interest groups and clubs: Take part in discussions and get involved in projects. Numerous interest groups invite you to engage with a topic
- Health Centre – The Erste Campus operates a fully equipped health center that offers all employees a high standard of medical services during working hours.
- Employee benefits – Benefit from special conditions for financial services and insurances, supermarkets, clothing stores and many more.
- Employee Referral Program – Become a talent scout for career opportunities in IT. We are rewarding every successful referral for Erste Digital
- A competitive and performance-related salary dependent on your professional and personal qualifications is granted - the minimum wage for this position in accordance with the respective collective agreement is EUR 52.136,- gross per year. But this is just a formality, we are more than happy to discuss your actual expectations.
The way we are:
Erste Group considers the diversity of its 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.
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