Informacje o stanowisku

We are looking for a skilled Data Engineer with expertise in Python, Azure Databricks (or similar tools), and Azure Cloud to join our team. The ideal candidate should have experience in building and optimizing data pipelines, ensuring efficient data processing and integration. Strong communication skills and a team-oriented mindset are essential to collaborate effectively across teams and deliver high-quality solutions. If you thrive in a dynamic environment and are passionate about data engineering.

Requirements:

• You are graduated with a Masters degree in Computer Science, Data Engineering or any related field
• Data & Engineering has been your world for 4-5 years now
• You have strong ETL skills and experience with data processing tools.
• Databases (like SQL server) don’t have any secret for you
• Ideally, you are familiar with one of the Visualization tools (Power BI)
• Knowledge and experience of Databricks - very important.
• Nice to have: Knowledge of Azure Data Factory or Azure Synapse, Spark or Python
• You are comfortable working in a diverse, complex and fast-changing landscape of data sources
• You care about agile software processes, data-driven development, reliability, and responsible experimentation
• Fluent in English
• You are a proactive problem solver with innovative thinking and a strong team player.

We are looking for a skilled Data Engineer with expertise in Python, Azure Databricks (or similar tools), and Azure Cloud to join our team. The ideal candidate should have experience in building and optimizing data pipelines, ensuring efficient data processing and integration. Strong communication skills and a team-oriented mindset are essential to collaborate effectively across teams and deliver high-quality solutions. If you thrive in a dynamic environment and are passionate about data engineering.

,[building and optimizing data pipelines, ensuring efficient data processing and integration, collaborate effectively across teams, deliver high-quality solutions Requirements: Python, ETL, SQL, Azure Databricks, Azure Cloud, Azure Synapse, Spark Tools: . Additionally: Sport subscription, Private healthcare, International projects.

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