Data Engineer – Machine Learning & Databricks
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| Company Name | Karo Healthcare |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Stockholm, Stockholm County, Sweden |
| Qualifications | None / No Formal Education |
| Experience | 5 Year+ |
Job Overview
Karo Healthcare is seeking a skilled Data Engineer with expertise in Machine Learning and Databricks to join their team in Stockholm, Sweden. This full-time role will be crucial in designing, building, and maintaining robust data pipelines and infrastructure to support advanced analytics and machine learning initiatives across the company’s diverse product portfolio.
Company Overview
Karo Healthcare delivers smart choices for everyday healthcare, owning and commercialising branded, original over-the-counter products and prescription medicines. Their extensive portfolio covers categories such as intimate health, skin health, digestive health, foot health, pain, cough and cold, wellness, and specialty products. Headquartered in Stockholm, Sweden, and owned by KKR since 2025, Karo Healthcare’s products are available in over 90 countries, with a strong sales organisation in more than 10 European countries and the Nordic region as its core market.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: 5 Year+
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Apache Spark.
- Implement and optimize data infrastructure to support machine learning models and analytical applications.
- Collaborate closely with data scientists, analysts, and product teams to understand data requirements and deliver robust solutions.
- Ensure data quality, governance, and security standards are met across all data platforms.
- Monitor data systems for performance, troubleshoot issues, and implement proactive improvements.
- Contribute to the architectural evolution of Karo Healthcare’s data and machine learning platforms.
Requirements
- Proven professional experience as a Data Engineer, with a strong focus on Machine Learning infrastructure.
- Extensive hands-on experience with Databricks, Apache Spark, and cloud data platforms (e.g., Azure, AWS, GCP).
- Proficiency in programming languages such as Python or Scala for data manipulation and scripting.
- Solid understanding of data warehousing concepts, data modeling, and distributed data processing.
- Ability to work effectively in an agile, fast-paced environment, both independently and as part of a team.
- Excellent problem-solving skills and a strong commitment to delivering high-quality data solutions.
Benefits
- Opportunity to work with cutting-edge technologies in Machine Learning and Databricks.
- Be part of a dynamic and growing international healthcare company making a real impact.
- A collaborative, innovative, and supportive work environment in Stockholm, Sweden.
- Significant opportunities for professional development and career advancement.
- Contribution to products that improve everyday health for people globally.
- Competitive compensation and a comprehensive benefits package.