Data Engineer

4 godzin temu

Poland SIX Pełny etat

SIX drives the transformation of financial markets.

What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.

 Data Engineer

Warsaw | working from home up to 40% | Reference 7407

Are you excited about shaping the future of data-driven payments in Switzerland? Do you thrive at the intersection of data engineering, analytics, and innovation? Banking Services plays a key role in orchestrating Swiss payments by providing the infrastructure behind interbank, card-based, and mobile transactions.

As part of our Data Analytics & Engineering team—embedded within the Banking Services business unit of SIX Group—you will help unlock the value of data to empower smarter business decisions for our organization and our customers. Using state-of-the-art technologies, advanced analytics, and AI (including large language models), we are transforming how we operate and interact with customers. Join us on this journey as we explore new frontiers in data and shape the future of Swiss payments.

  What You Will Do
  • design, implement, and optimize scalable Python-based ETL pipelines across on-prem (Windows, Linux) and Azure (Databricks) environments
  • build robust data ingestion workflows for structured and unstructured data, including schema mapping, data quality checks, and error handling
  • develop data solutions that enable insights, automation, and preparation for predictive and prescriptive models
  • communicate analytical results effectively using Power BI or Python-based visualization tools
  • build and maintain container-based CI/CD pipelines, including orchestration, logging, and alerting across on-prem and cloud platforms
 
What You Bring
  • 4+ years of experience in Data, ML, or Software Engineering roles, with strong production-level Python expertise
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
  • solid understanding of engineering best practices, including testing, code reviews, and documentation, plus an interest in modern Data/ML concepts
  • hands-on experience with relational databases, including query performance and data modeling
  • familiarity with data analysis, statistics, visualization, version control, CI/CD, and containerization; experience with Azure services (Databricks, ADF) is a plus
 

If you have any questions, check out our FAQ page or call Gabriela Reclaw at / /

For this vacancy we only accept direct applications in English.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background. 

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