Data Engineer - Databricks to Knowit Stockholm
Knowit AB (Publ)
📍 Stockholm
⏰ Heltid
📋 Vanlig anställning
🗓 Ansök senast 12 oktober 2026
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Build modern data platforms with Databricks at the center
Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution.
About the role as a Databricks Specialist at Knowit
In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform.
You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities.
Your main responsibilities will include:
Designing and developing scalable data platforms based on Databricks and Lakehouse architecture
Building, optimizing, and orchestrating data pipelines using Python and PySpark
Working with data governance and management through Unity Catalog
Integrating data with BI, AI, and ML solutions to create real business value
Supporting clients in establishing secure, robust, and future-proof data engineering solutions
Our tech stack / tools and ways of working
Data platform: Databricks
Programming: Python, PySpark
Cloud platforms: Azure, AWS, and Google Cloud
Data architecture: Lakehouse, modern data platforms
AI & Analytics: integrations with BI, AI, and machine learning
We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills.
Who are we looking for?
We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem.
As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus.
Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.
Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution.
About the role as a Databricks Specialist at Knowit
In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform.
You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities.
Your main responsibilities will include:
Designing and developing scalable data platforms based on Databricks and Lakehouse architecture
Building, optimizing, and orchestrating data pipelines using Python and PySpark
Working with data governance and management through Unity Catalog
Integrating data with BI, AI, and ML solutions to create real business value
Supporting clients in establishing secure, robust, and future-proof data engineering solutions
Our tech stack / tools and ways of working
Data platform: Databricks
Programming: Python, PySpark
Cloud platforms: Azure, AWS, and Google Cloud
Data architecture: Lakehouse, modern data platforms
AI & Analytics: integrations with BI, AI, and machine learning
We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills.
Who are we looking for?
We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem.
As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus.
Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.