Data Engineer
Workplace: Malmö, Sverige
Expires: November 26, 2025
Join Knowit Core in Malmö and work in a dynamic environment blending start-up agility with an established company. Knowit Core, with 120 employees, delivers services in Datalytics, Cloud Services, and mobile applications, offering comprehensive digital projects, maintenance, and development across industries like retail, banking, automotive, and industry. Work closely with data engineers, cloud architects, app developers, and cloud strategists using technologies such as Python, SQL, Azure, AWS, Google Cloud, Databricks, Fabric, Dagster, DBT, Data Lakes, Lakehouse, Snowflake, and Spark. Candidates should have at least five years of experience as Data Engineers, be comfortable with both Swedish and English, and have interest or experience in AI/Machine Learning. Enjoy a supportive and collaborative workplace with competitive benefits at Knowit's Malmö office overlooking the city.
Main requirements:
- At least five years of experience as a Data Engineer
- Fluency in both Swedish and English, spoken and written
- Experience or strong interest in AI and Machine Learning
- Ability to work collaboratively in cross-disciplinary teams
- Willingness to explore new ways of working and solving customer challenges
Responsibilities:
- Work on diverse assignments across various industries including retail, banking, automotive, and industry
- Develop and manage data pipelines and data warehouses
- Collaborate with data engineers, cloud architects, app developers, and cloud strategists
- Leverage cloud platforms and tools to deliver digital projects and solutions
- Continuously learn and apply AI techniques to improve work and outcomes
Required hard skills:
- Python
- SQL
- Azure Cloud Services
- AWS Cloud Services
- Google Cloud Platform
- ETL tools such as Databricks, Fabric, Dagster, DBT
- Data storage technologies: Data Lakes, Lakehouse, Snowflake
- Data processing with SQL Spark and Notebooks
Recommended hard skills:
- Experience working as a consultant (meritorious)
- Experience with AI/Machine Learning
Soft skills:
- Collaborative mindset
- Adaptability to new technologies and methodologies
- Strong communication skills in Swedish and English
- Problem-solving orientation
- Curiosity and eagerness to learn
Coding languages:
- Python
- SQL
Frameworks:
- Databricks
- Fabric
- Dagster
- DBT
Natural languages:
- Swedish (Proficient)
- English (Proficient)
Cultural skills:
- Teamwork across disciplines
- Innovation orientation
- Commitment to equality and sustainability
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