
5001 - 10000 employees
💼 Consulting
🏭 Manufacturing
🏥 Healthcare
💰 Private equity on 2017-02
Consulting • Manufacturing • Healthcare
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
🔥 1 minute ago
🗣️🇨🇿 Czech Required
🗣️🇸🇰 Slovak Required
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5001 - 10000 employees
💼 Consulting
🏭 Manufacturing
🏥 Healthcare
💰 Private equity on 2017-02
Consulting • Manufacturing • Healthcare
Avenga is an international technology and software engineering company that combines consulting, product development, and digital transformation services to help enterprises solve complex business and societal challenges. With over 6,000 professionals across multiple countries and decades of experience, Avenga delivers custom software, cloud, and integration solutions while supporting clients across industries and providing talent acquisition and career development services internally.
• Design, develop, and maintain ETL/ELT data pipelines using Databricks • Build and optimize data processing solutions in an Azure environment • Collaborate directly with the client to understand requirements and deliver technical solutions • Develop and optimize data transformations using PySpark • Work with Azure Data Factory and Jupyter Notebooks where applicable • Ensure data quality, reliability, and performance across data pipelines • Troubleshoot and resolve data-related issues • Contribute to the continuous improvement of data engineering solutions and best practices
• 3+ years of experience as a Data Engineer • Strong experience with Databricks, preferably in Azure Databricks • Hands-on experience with ETL/ELT pipeline development • Good knowledge of Python and SQL • Experience with PySpark • Experience with Azure Data Factory (ADF) is an advantage • Experience working with Jupyter Notebooks is a plus • Ability to communicate directly with clients and gather technical requirements • Strong analytical and problem-solving skills • Native-level proficiency in Czech or Slovak, with strong English communication skills • Nice to have Databricks certification
• life insurance • pension contribution • EN/DE/ES lessons • MultiSport card • sick days • meal allowance • lots of company events • offices in Bratislava with quality amenities for lovers of sport, food and coffee • hybrid remote work after mutual agreement
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