Your tasks:

• Work in a team with Data Engineers and Data Scientists to contribute to the (technical) design, implementation and evaluation of new algorithms, machine learning models and other data-driven features and services.
• Take ownership of legacy services, optimise and transform them to current needs.
• Design and implement components in a sustainable fashion (e.g. having on observability, computational costs, ease of use, future maintenance costs)
• Build, deploy, monitor and operate services within our infrastructure, while automating processes.
• Use technologies like Scala, Python, Kafka, Kubernetes, snowflake, DBT, Spark and AWS.
• Bridge and operate between on-prem and cloud infrastructure.

Your skills:

• BSc or higher degree in Computer Science or equivalent Software Engineering experience
• Very good programming skills in Scala, Python, snowflake and experience in deploying and configuring on AWS.
• Knowledge and experience in implementing scalable software and services which process large volume of data (e.g. real-time processing components, REST services), using search technologies (e.g.,snowflake, opensearch, etc.), data storage (e.g. relational databases, key-value stores) and related data processing technologies (e.g. Kafka, Akka, Play, etc.)
• Proficient English language skills (German is not required)

• Nice to have

  • Experience in working with Graph and Vector databases
  • Experience in designing architectures and developing software components for distributed systems (e.g. in the context of micro-service architectures)
  • Experience in building libraries, frameworks or platform services that other Software Engineers use
  • Good knowledge in SQL and DBT

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