Sii Poland

Data engineer in financial industry

In short

Senior Big Data Developer role building a modern data platform on Databricks and Microsoft Azure for a financial-industry client, requiring at least 5 years of experience with Python, PySpark, Databricks, Delta Tables, and Azure services like Data Factory and Event Hub. The job involves designing ETL/ELT pipelines, medallion architecture, and using AI-assisted development tools. Advanced English and 5+ years of data engineering experience are the strongest requirements; the position is onsite in Warsaw.

About the Role
We are looking for a Senior Big Data Developer to join our team in building a modern data platform using Databricks and the Microsoft Azure ecosystem. In this role, you will be responsible for designing and developing scalable data solutions, implementing and optimizing ETL/ELT pipelines, and integrating data from multiple sources. If you are passionate about modern data engineering, AI-assisted development, and creating impactful data solutions, don't hesitate to apply!
Responsibilities
•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
Requirements
•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
Nice to Have
•Familiarity with Elasticsearch
•Strong analytical skills and a proactive approach to solving complex data-related challenges
Conditions
•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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