Informacje o stanowisku

Are you ready to take your expertise to the next level in  a dynamic and fast-growing tech environment? 

This is a hybrid opportunity – 2-3 days per week working from home 

As a Data Engineer, you will contribute to the development of scalable, efficient  data infrastructures and pipelines, empowering AI/ML models, analytics, and data driven applications while enhancing data governance practices. 

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #6119

You’re ideal for the role if you have: 

• 5+ years of experience as a Data Engineer with strong hands-on expertise  in Azure cloud services, including Spark/Databricks.
• Proficiency in Python and SQL, with a proven track record of building and  optimizing complex ETL/ELT processes in Data Lakehouse environments.
• Experience in data mesh architecture is a plus, showcasing your ability to  navigate decentralized data environments.
• A passion for continuous learning and the ability to communicate technical  concepts effectively to non-technical stakeholders.

Are you ready to take your expertise to the next level in  a dynamic and fast-growing tech environment? 

This is a hybrid opportunity – 2-3 days per week working from home 

As a Data Engineer, you will contribute to the development of scalable, efficient  data infrastructures and pipelines, empowering AI/ML models, analytics, and data driven applications while enhancing data governance practices. 

#GETREADY  to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #6119

,[ Design and implement scalable data processing infrastructures and ETL pipelines on Azure to support data-driven applications and AI/ML models. , Establish robust data governance practices to ensure data security, integrity, and availability across the platform. , Stay ahead of industry trends, proactively sharing insights to foster a culture of learning and innovation. Requirements: Azure Cloud, Spark, Databricks, Python, SQL, ETL, Data Lake Additionally: Access to +100 projects, Private healthcare, Multisport card, Access to Pluralsight.

Praca Kraków

Kraków - Oferty pracy w okolicznych lokalizacjach