Senior Data Engineer (m/f/d)

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.

Join us and become part of our Data & Insights Team as

Senior Data Engineer (m/f/d)

Location: The role is available in Spain, in a fully remote model

Your Impact:

• Develop and enhance the data infrastructure which is 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, while 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 the agile Data Engineering space with a solid track record in Data Product Development
• Advanced knowledge of Python and SQL for data engineering
• 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/or 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, Amazon Web Services, or Azure
• Fluent in English

Nice to have:

• Advanced knowledge of GCP’s Big Data products, such as BigQuery, PubSub, DataProc and Cloud Storage
• Good understanding of Jenkins-based CI/CD pipeline
• Know-how of other data storage technologies (NoSQL / RDBMS) such as Hive, HDFS, MongoDB, or Cassandra
  

-