ID 1451 – Data Engineer


Our company has been shaping the international market significantly since 2012 for on-site feedback. We currently have over 5,000 feedback systems in use in more than 25 countries. Ten currently use in the DAX or EuroStoxx listed companies to their customers or employees to integrate systematically and continuously.
Our interdisciplinary team currently consisting of 28 employees has broad and deep experience in business consulting, market research and internet technology. We are passionate about developing solutions for better dialogue and easier feedback between people and organizations.

– At least 3+ years of experience in backend engineering
– Experience working with SQL and NoSQL databases (MongoDB, PostgreSQL)
– Experience with MPP databases is a plus (Citus)
– Knowledge of at least one message broker (RabbitMQ, ZeroMQ, Kafka)
– Fluent in one or more scripting or programming languages (e.g. Ruby, Python)
– Basic experience of Rails framework is a big plus
– Experience with data warehousing, OLAP and/or OLTP
– Basic background in Amazon Web Services (AWS)
– Knowledge of container technologies (Kubernetes, Docker)

Your Tasks
– Design, develop and improve data processing pipeline (feedback processing)
– Develop and implement concepts for storing feedback data in a data warehouse / data lake
– Create and maintain a scalable distributed system
– Develop and maintain batch and stream processing (establishing lambda architecture)

Your benefits
– Working in an international IT team
– Attractive workplace (permanent / full time)
– Modern working environment with state-of-the-art technologies
– `Working from home` possible
– Working in an OKR based organizational system
– Free drinks & fruits


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