Senior Data Engineer (m/f/d)
Berlin, Berlin, Germany
Applications have closed
Oetker Digital
We are Oetker Digital. Collaboratively we combine the Oetker Group's traditions with new digital concepts, innovations and business models.We are Oetker Digital. Collaboratively we combine the Oetker Group's traditions with new digital concepts, innovations and business models. To name but a few, we support established brands such as Dr. Oetker, Coppenrath & Wiese and Radeberger. Together, we develop ideas for consumers of the Oetker Group's products in everyday life.
Share your passion for the digital world and digital business models and become our
Senior Data Engineer (m/f/d)
Your Impact:
- Develop and enhance the data infrastructure which will be the technological backbone for our data products and analytical data platform
- Get the chance to solve interesting problems by using a broad variety and large amounts of data from Oetker Group companies and Oetker Digital’s ventures
- Support the growth of our Data & Insights Team and help build up a team setup characterized by autonomy, trust, ownership & alignment and help promoting our data driven culture
- Work closely in cross-functional Product Teams with experts from our Engineering, Product and Domain Teams on challenging data topics and products
- Mentor and develop (Junior) Data Engineers
Your Strengths:
- Wide experience in agile Data Engineering space with solid track record in Data Product Development
- Advanced knowledge of Python for data engineering and SQL, Scala or Java knowledge
- Experience in designing, developing and maintaining data processing systems and data pipelines for batch and stream processing at scale (e.g. using Spark, Hadoop, or similar)
- Experience using Docker and Kubernetes to create, package, deploy, and run applications
Experience in workflow management systems or schedulers, e.g. Airflow (preferably), Prefect or Luigi for job scheduling and orchestration -
Deep understanding of Cloud Data Platforms like Google Cloud Platform, AWS or Azure
Fluent in English – German is a plus
Nice to have:
Advanced knowledge of GCP’s BigQuery, PubSub, DataProc, Cloud Storage etc.
Good understanding of Jenkins based CI/CD pipeline
Know-how of other data storage technologies (NoSQL / RDBMS) such as Hive, HDFS, MongoDB or Cassandra
Requirements
-
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Azure BigQuery Cassandra CI/CD Data pipelines Dataproc Docker Engineering GCP Google Cloud Hadoop HDFS Kubernetes MongoDB NoSQL Pipelines Python RDBMS Scala Spark SQL
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