Requirements

Expected technologies

Python

Airflow

SQL

Google Cloud Services

Big Query

Doker

Kubernetes

Our requirements

• You have 3+ years of work experience as a Data Engineer with huge datasets or in a similar position.
• You are a clean coder with an agile mindset.
• Mass data doesn't scare you.
• You have experienced with Python, PL/SQL, PySpark, Airflow, Docker, Kubernetes.
• You are characterized by a high-quality awareness, your trustworthiness and interest in new technologies.
• You can work independently in an agile team.
• You have very good English skills.
• You are eager to learn OpenShift, data related GCP services or BigQuery and Jenkins.

Your responsibilities

• Within the Data Engineering Team you can work with a huge amount of data and help us with its usage in an efficient way in Germany, Poland, Italy and Austria.
• We strive towards a modern cloud-based data platform on GCP leveraging bleeding edge services and in parallel we keep existing processes running on-premise until they are fully migrated.
• You will not only be responsible for development but also for the operation of our services, both on-premise and within the cloud.
• You support operations and take responsibility of productive processes (you build it, you run it).
• You analyze, understand, and accompany the requirements from the idea until end-of-life (DataOps)
• You contribute to the design of our solution, execute development of design, test and document your implementation.
• In order to solve complex business problems, you perform comprehensive data analysis and research.
• You work together with internal stakeholders across the organization to produce high-quality KPIs out of raw data.
• You work in close collaboration within your cross-functional agile team on-side.