Senior Data Engineer (m/f/d)
Madrid, Comunidad de Madrid, Spain
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.
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
Requirements
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Azure Big Data BigQuery Cassandra CI/CD Data pipelines Dataproc Docker Engineering GCP Google Cloud Hadoop HDFS Kubernetes MongoDB NoSQL Pipelines Python RDBMS Spark SQL
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