Senaste jobbinformationen från Karo Healthcare för tjänsten som Data Engineer - Machine Learning & Databricks. If the Data Engineer - Machine Learning & Databricks lediga tjänsten i Stockholms län matchar dina kvalifikationer, vänligen skicka din senaste ansökan eller CV direkt via den uppdaterade Jobkos-portalen.
Observera att det inte alltid är enkelt att söka jobb, eftersom kandidater måste uppfylla vissa krav från företaget. Vi hoppas att karriärmöjligheten hos Karo Healthcare för tjänsten som Data Engineer - Machine Learning & Databricks nedan matchar din profil.
Overview
Karo Healthcare, a dynamic and growing personal-care retail Företag, is all about making smart choices for everyday healthcare. With a wide-ranging portfolio across seven categories including medical products, we own and sell over 80 brands in about 90 countries. Our portfolio includes such brands as E45, Pevaryl, Lamisil, Nutravita, Decubal and many others. Our core belief in empowering people to make intelligent health decisions drives our growth strategy, blending organic expansion and M&A.
Join us at Karo Healthcare on our exciting journey. We\'re currently looking for a Data Engineer for our office in Stockholm.
What’s in it for you?
A hands-on data engineering role with real business impact, international exposure, and strong room to grow - within a fast-moving, empowered Nordic organization where your work truly matters.
What you\'ll be doing
Design, build, and optimize scalable data pipelines on Databricks, covering the full lifecycle from ingestion to transformation and performance tuning
Work closely with business stakeholders, analysts, and fellow engineers to deliver high-quality, business-critical data solutions
Take ownership of end-to-end data flows, ensuring reliability, scalability, and best-practice architecture
Actively contribute to the evolution of our modern Lakehouse platform, including governance, CI/CD, and data quality standards
Support and contribute to AI, ML, and Generative AI initiatives, from solution design to implementation
Proactively identify improvements and help shape how data engineering is done at Karo
Requirements
3+ years of hands-on experience as a Data Engineer (or similar role) in a fast-paced, delivery-focused environment
Strong experience with Databricks and solid understanding of Lakehouse and Medallion architectures
Advanced SQL, solid Python, and experience working with Spark
Experience with ETL/ELT pipelines, data modeling (e.g. Kimball / star schema), and CI/CD practices
Comfortable working with Git and modern development workflows
Curious, proactive, and eager to grow—especially within AI/ML and modern data platforms
Bachelor\'s or Master\'s degree in Computer Science, Data Science, or a related field
Experience or interest in Machine Learning or Generative AI is a strong plus
Benefits
Opportunity to create, grow, and encourage
Apart from a competitive salary pack, there are lots of growth opportunities to meet your personal ambitions
Flexible schedule, hybrid model with the primary work place in the office, and life-work balance
Responsibility for exciting and challenging projects that have a direct, visible impact on our customers and the industry
Very positive work environment in a dynamic, international, and motivated team
Start-up spirit while being a part of the large international organization with strong values
Karo Healthcare has a Diverse & Inclusive environment. We are looking for qualified candidates irrespective of gender, gender identity, sexual orientation, ethnicity, race, religion, national origin, disability or age.
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Om tjänsten:
Företag: Karo Healthcare
Tjänst: Data Engineer - Machine Learning & Databricks
Arbetsplats: Stockholms län
Land: SE
Så här skickar du in en ansökan:
Efter att ha läst och förstått kriterierna och minimikraven som förklaras i jobbannonsen Data Engineer - Machine Learning & Databricks at the office Stockholms län ovan, vänligen färdigställ dina ansökningshandlingar såsom personligt brev, CV, kopia av examensbevis och andra bilagor. Skicka in via länken 'Nästa sida' nedan.
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