Big Data Engineer

• Develop new data pipelines and maintain our data ecosystem, focusing on fault-tolerant ingestion, storage and data lifecycle, and the computation of metrics, reports and derived information
• Communicate efficiently with your team-mates in order to develop software and creative solutions for our customer needs. 
• Write high-quality, reusable code, test it, and bring it to production
• You are familiar with applying best practices according to industry standards whilst promoting a culture of agility and excellence. 

Requirements

• Several years of experience developing in a modern programming language, preferably Java and Python
• Significant experience with developing and maintaining distributed big data systems with production quality deployment, and monitoring
• Exposure to high-performance data pipelines, preferably with Apache Kafka & Spark
• Experience with scheduling systems such as Airflow, and SQL/NoSQL Databases
• Experience with cloud data platforms is a plus
• Exposure to Docker and/or Kubernetes is preferred
• Good command of spoken and written English
• University degree in computer sciences or equivalent professional experience.

Benefits

• A chance to be a part of a casual but professional environment where you will have a safe place to try, fail and learn
• Have full ownership over your code
• Coaching from our tech leads to advance your soft and technical skills and set your own development path
• Defined and organized the onboarding process for both, the company and the project
• Competitive compensation depending on experience and skills
• Private pension and medical insurance for you and your family. Also, maternity and sick leave are 100% paid
• Sport clubs – from fishing to basketball, whatever rocks your boat
• Awesome referral fees - because great people know great people
• Work-life balance – this is the company that really supports your professional, family and personal goals
• Freedom to decide how you want to work - partly or fully remote or from our offices.