Senior Data Engineer

System ia a global platform and ecosystem designed to enable the secure exchange of data, analytics, and services across various industries. We are at the forefront of digital transformation, helping businesses leverage data to make informed decisions, improve operational efficiency, and achieve their sustainability goals. As Data Engineer, you will join a team that is transforming existing and developing new digital services and tools across all industries. We are looking for candidates who are passionate about building analytical solutions with great technical expertise.

Key requirements:

• Relevant work experience, of which 2-4 years in software development, system integration, data warehousing or similar
• Python programming skills, especially in areas related to processing data (pandas, PySpark)
• Practical expertise in SQL and database design
• Experience in working with Apache Spark / Pyspark
• Solid English communication skills, both written and oral
• A curious mindset and passion to learn new technologies
• Excellent analytical skills with the ability to see commonalities amongst diverse problems

Additional advantage will be experience with one or more of the following:

• Data modelling, especially for Data Warehousing and Big Data
• Data querying and processing languages and frameworks such as R, Scala, DAX, XPath, Kusto Query Language
• Working with Visual Studio Code IDE
• Implementing automated deployment scripts in YAML for Microsoft DevOps environment
• Developing and consuming RESTful API services
• Programming in C# language
• Experience in using Microsoft Power BI
• Agile development methodology such as Scrum

• Design, develop and support solutions created using Azure analytics tools (Azure Databricks, Azure SQL, Azure Data Factory, Azure Functions).
• Create full automated data processing pipelines using components available in Microsoft Azure cloud.
• Develop, operate, and document data ingest pipelines, visualization applications, data governance, data catalogues.
• Performance tuning and optimization of Apache Spark / Pyspark applications.
• Explore and analyze datasets from external and internal providers.
• Cooperate in an international team on a daily basis.

Only candidates located in Poland are considered. Solid English communication skills required for cooperation with international teams.