Senior Data Engineer - Java

Summary

Join ResearchGate, a remote-first organization, as a Senior Frontend Engineer (UX & Design System) in Berlin. Collaborate with data scientists to implement ML systems, maintain ML components, and develop Java and Python-based services. Build efficient data pipelines, create robust solutions, and take ownership of your work. The team is multidisciplinary and values collaboration, balancing pragmatic solutions with forward-thinking experiments. ResearchGate offers a flexible work environment, generous vacation time, professional development days, and support for mental wellbeing.

Requirements

• Expert knowledge in Java (5+ years of experience), working knowledge of Python, particularly ML-ecosystem applications
• Experience in designing and implementing data pipelines (batch and streaming)
• Track record of developing microservices using deep understanding of REST principles
• Comfort with DevOps related technologies (Docker, Kubernetes)
• Proficiency in SQL (BiqQuery experience is a plus)
• Experience working within a cloud services environment
• Very good command of English and strong communication skills

Responsibilities

• Build infrastructure that enables workflows involving large datasets and/or machine learning models in production using distributed computing and big data processing concepts and technologies
• Take ownership of the technical design, monitoring, and maintenance of your systems, including Java and Python microservices
• Proactively identify and evaluate opportunities for data products and automation
• Evaluate the impact, risks and evaluate technical/data feasibility of potential new data products or automation initiatives in collaboration with engineering and product
• Contribute to developing the overall ML strategy in your function and/or business unit
• Support the development of your team or colleagues in tangential areas by preparing and running trainings, supporting the hiring process, employer branding initiatives and mentoring others

Preferred Qualifications

• Experience working with a wide variety of data technologies, including queue-based integration patterns (Kafka, ActiveMQ), No-SQL databases (e.g. MongoDB), and Big Data tools, in particular the Hadoop ecosystem (MapReduce, HBase, Hive and HDFS) and Flink
• Experience applying LLM-based approaches to production systems
• Experience with recommendation or search applications

Benefits

• You'll be working in an open and empowered company culture, with the chance to individually shape your professional development and growth
• Enjoy a flexible working environment that adapts to your life circumstances
• A generous 30 full days of vacation for you to unwind and days focused for your professional development to further grow your career
• Free access to a platform to support your mental wellbeing
• We support a remote work approach by enabling our team to work across borders (up to 120 days a year)