Junior Data Engineer (Azure Databricks)
As a Junior Data Engineer, you will develop and maintain data pipelines using Azure Databricks and support modern data architectures while ensuring data quality and performance.
Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.
Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:
With strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market.
Inetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:
Attractive financial benefits:
Professional development and team support:
Community and Well-Being:
We are looking for a Junior Data Engineer who will be responsible for monitoring production pipelines, solving incidents, improving stability, and ensuring smooth daily data operations.
We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:
As a Junior Data Engineer, you will develop and maintain data pipelines using Azure Databricks and support modern data architectures while ensuring data quality and performance.
Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, while integrating with SQL Server-based data warehouse environments.
Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory, while integrating with SQL Server environments.
Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory while integrating with SQL Server environments.
Develop and support modern data pipelines and Lakehouse architectures using Azure Databricks, Spark, and Azure Data Factory while integrating with SQL Server environments.