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Top Data Engineer Jobs in Poland

21 Days Ago
5 Locations
532 Employees
Senior level
532 Employees
Senior level
Artificial Intelligence • Blockchain • Internet of Things • Machine Learning • Software
The Senior Data Support Engineer will utilize their expertise in Data Engineering to manage data manipulation, transformation, and analysis using tools like Snowflake and Python. Responsibilities include ELT development, data modeling, supporting QA and UAT processes, and collaborating on projects with distributed teams.
22 Days Ago
Warsaw, Warszawa, Mazowieckie, POL
Remote
2 Employees
Mid level
2 Employees
Mid level
Legal Tech
As a Lead Data Engineer, you will lead a team responsible for the AI self-service portal and related microservices, managing data pipelines and collaborating with product owners to build products that solve complex client problems. You will work with the Azure cloud and Databricks, implement best practices in software engineering, and guide the team in code reviews and troubleshooting.
22 Days Ago
Poznań, Wielkopolskie, POL
2,753 Employees
Senior level
2,753 Employees
Senior level
eCommerce • Sales
As a Senior Data Engineer, you will design and build scalable data pipelines, maintain data warehouses and lakes, ensure data quality, and collaborate with cross-functional teams. You will integrate data from various sources and contribute to data architecture and governance.
22 Days Ago
Poland
2,135 Employees
Senior level
2,135 Employees
Senior level
Information Technology • Consulting
The Senior Data Scientist Engineer will develop and implement machine learning models, ensure data quality, perform statistical validation, and document processes. They will partner with data engineers, present insights with visualization tools, and stay updated on AI/ML advancements.
24 Days Ago
Poland
26 Employees
Senior level
26 Employees
Senior level
Software
As a Senior Data Engineer, you will design and implement data systems for a US-based private investment firm, integrating data from various sources to enhance insights and decision-making. Responsibilities include building data models, data warehouses, and pipelines, while ensuring data integrity and accessibility.
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