Data Engineer

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.

Warsaw | working from home up to 60% | Reference 6246

Are you passionate about modern technology? Do you want to work in an agile, self-organized environment where collaboration, trust, and innovation are paramount? Then we want to hear from you. We are seeking a talented individual to join our team and contribute to our business intelligence and reporting initiatives. As a Data Engineer specializing in Azure, you will play a key role in engineering data pipelines and modern data warehouses, while also supporting our business intelligence platform as part of our DevOps team.

What You Will Do

• design, develop, and maintain Azure data pipelines, data systems and data warehouses (Databricks Lakehouse, Data Vault 2.0, Python PySpark)
• collaborate with cross-functional teams to understand business requirements and design data solutions that meet the needs of stakeholders
• optimize and tune data pipelines for performance, reliability, and efficiency
• implement data modeling techniques to design efficient and scalable data schemas and architectures that support analytics, reporting, and machine learning applications

What You Bring

• experience in both data and software engineering, with a focus on stream-oriented and analytical processing - proficiency in Apache Spark, SQL, Python, and Java
• hands-on experience with data pipeline and large-scale data warehouse implementation, including data lakes and Databricks
• understanding of data modeling in various paradigms such as relational, message schema, and graph
• familiarity with cloud computing, particularly Microsoft Azure technologies and services as well as experience with test automation and CI/CD pipelines is highly desirable
• proficient in English; fluency in French or German is a plus

If you have any questions, please call Gabriela Swiatek at +48 22 104 67 70.

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.