Data Engineer - Databricks to Knowit Stockholm

Knowit; Stockholms kommun; On-site; SEK 600,000 - 800,000; Full time

Job summary

A consulting firm in Stockholm is looking for a Databricks Specialist / Data Engineer to design and develop scalable data platforms. You will work with Databricks and Python to build data solutions, optimize pipelines, and integrate data with AI and ML. Ideal candidates have experience in modern data environments and possess strong Python and PySpark skills. Collaboration and knowledge sharing are key aspects of the role, with opportunities for continuous learning.

Qualifications

• Several years of experience as a Data Engineer in modern data environments.
• Strong skills in Python and PySpark.
• Experience with data governance and orchestration, using Unity Catalog is a plus.

Responsibilities

• Design and develop scalable data platforms based on Databricks and Lakehouse architecture.
• Build, optimize, and orchestrate data pipelines using Python and PySpark.
• Support clients in establishing secure and robust data engineering solutions.

Skills

Data Engineering

Python

PySpark

Cloud platforms

Data Governance

Collaboration

Tools

Databricks

Azure

AWS

Google Cloud

Job description

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 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.