Senior Data Engineer - Java(m/f/d)

This is a full-time position based in Berlin. We are a remote-first organization and support mobile and flexible working.
ResearchGate is the professional network for scientists and researchers.  
The web was created by scientists, to foster scientific collaboration and drive progress for a better world. Here at ResearchGate, we’re looking for an experienced Senior Frontend Engineer (UX & Design System) to join our team.
We are a bunch of pragmatic optimists from all around the world and many different backgrounds. 
We provide scientists with the help and support they need by connecting them to the world’s most active scientific community.
Together, we focus on taking the web back to its original mission and changing the way scientists communicate for the better.Our goal is to connect the world of science and make research open to all.
Objective of the Role
Collaborate with Data Scientists to implement ML systems in productionTake ownership for continuous maintenance and improvement of ML-related components (focus on recommendation-related products)Develop, implement, and maintain Java and Python-based services (REST-, queue- and batch-based)Build efficient batch and stream processing pipelines to handle our big data workloadsCreate robust and evolvable solutions with quality of service and data integrity in mindTake responsibility for your solutions and continuously improve on them

The team
ResearchGate’s Data Science and Machine Learning team is a multidisciplinary engineering team, consisting of Data Scientists, Machine Learning Engineers, and Data Engineers. The team owns the end-to-end development of ML-enabled products as well as the infrastructure that powers ML-driven development across the Engineering department. As a cross-functional team, we are responsible for managing the full ML product life-cycle, including identifying opportunities, matching data sources with novel ML approaches, prototyping and scaling models, and deploying and maintaining services within ResearchGate’s engineering infrastructure.
Collaboration is critical to our team’s success; team members ask for and offer help on each others’ projects and own objectives collectively, and we work closely with stakeholders in Product and other Engineering teams. We balance pragmatic solutions within our existing tech stack with forward-facing experiments, trying new solutions, employing new technologies, and informing ResearchGate’s ML and AI strategy.

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.

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.
Also desired:
• 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.

Your Profile:

• You excel at building maintainable, efficient, and scalable software
• You are motivated to deep-dive into challenging problems, from the understanding of the problem and evaluation of the options to the planning, implementation and verification of the solution
• You ar