Join our innovative team as a Data Engineer/Data Scientist where you'll design and implement scalable data pipelines and advanced analytics solutions to drive business intelligence in a fully remote environment.

We are seeking a talented Data Engineer/Data Scientist to join our dynamic team at DataTech Solutions. In this role, you will be responsible for building robust data infrastructures that support our cutting-edge analytics and machine learning initiatives. You will collaborate with cross-functional teams to extract insights from vast datasets, optimize data flows, and develop predictive models that inform strategic decisions.

Key responsibilities include designing and maintaining data pipelines, ensuring data quality and integrity, and implementing scalable solutions using modern big data technologies. This position offers 100% remote work, allowing you to contribute from anywhere while enjoying the flexibility to balance work and life effectively.

If you are passionate about transforming raw data into actionable intelligence and thrive in a fast-paced, innovative environment, this is the opportunity for you to make a significant impact.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• Proven experience with data engineering tools such as Apache Spark, Kafka, and SQL/NoSQL databases
• Proficiency in Python, R, or Scala for data processing and machine learning applications
• Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud
• Experience with ETL processes, data warehousing, and big data technologies
• Excellent problem-solving skills and ability to work independently in a remote setting
• Fluency in English; German is a plus

• Competitive monthly salary with performance bonuses
• Fully remote work setup with flexible hours
• Comprehensive health insurance and pension contributions
• Professional development opportunities including certifications and conferences
• 30 days of annual leave plus public holidays
• Modern home office equipment provided
• Collaborative team environment with regular virtual team-building events