Senior Data Engineer - financial industry (f/m/x)
Indexed description
Your tasks
- Design and develop data solutions using Databricks, Python, and PySpark
- Build and optimize ETL/ELT pipelines for batch and streaming data processing
- Implement and maintain medallion architecture using Delta Tables
- Integrate data from multiple sources, including SFTP files, Delta Tables, and Azure Event Hub
- Work with Azure services such as Azure Data Factory to support end-to-end data workflows
- Utilize AI-powered development tools to improve code quality, testing, documentation, and productivity
- At least 5 years of experience in a Data Engineer, Big Data Engineer, or similar role
- Strong hands-on experience with Python and PySpark
- Proven experience with Databricks, Delta Tables, and modern data architectures
- Practical knowledge of the Microsoft Azure ecosystem, including Azure Data Factory and Azure Event Hub
- Experience building and maintaining scalable ETL/ELT pipelines
- Advanced level of English
- Interest in modern technologies and experience using AI-assisted development tools in everyday work
- Familiarity with Elasticsearch
- Strong analytical skills and a proactive approach to solving complex data-related challenges
Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.
Benefits For You
- Great Place to Work
- Solid financial situation
- Contracts with the biggest brands
- Centre of internal trainings
- Many experts you can learn from
- Open and accessible management team
- Profit sharing
- Passion Sponsorship program
- Regular integration events and trips
- Comfortable and well-equipped offices
- MySii app
- Medical care
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