(Senior) Data Engineer (m/f/d)

Company Description

Welcome to the Jochen Schweizer mydays Group!
We have been a subsidiary of the ProSiebenSat.1 Group since October 2017. The group includes the two experience providers Jochen Schweizer and mydays.
Together, we can enrich the lives of our customers even more with our combined expertise and strength: We show the most convenient way to a tangible, unforgettable experience - for everyone, at any time, in any place.

Our vision: to inspire people to live their best life.

If you're looking for a company where you can make a real difference, learn from talented colleagues and have lots of fun along the way, then the Jochen Schweizer mydays Group is the place for you. Join our team and help us bring joy, adventure and inspiration to the world.

Job Description

• Develop big data ETL-Pipelines with Python and Spark (Pyspark) in an agile environment
• Connect a variety of data sources (SAP-HANA, Google, (non)relational databases, Kafka Stream etc.) and integrate it into our cloud based DataLake (Microsoft Azure)
• Work closely with the product owner and design the data model to match their needs for sourced tables and structured Datamart’s)
• Make sure the Data Warehouse keeps its data integrity and availability

Qualifications

• University degree in economics with a technical focus, business informatics or any other related area of study
• 3 years of working experience in the data and business intelligence field
• Very good Python and strong SQL knowledge
• Solid experience with Apache Spark and big data
• Experience in agile Software-Development (Git, Jira, Jenkins CI)
• Know-how of the latest toolsets on Data integration, storage and modelling in the context of Data Warehouse and Data Lake (preferably Databricks, Kafka Streaming, Airflow)
• Sound understanding of distributed systems

Additional Information

We are looking for a (Senior) Data Engineer to initiate, manage and automate our routines to gather (un)structured data from several different data sources and load it into our cloud-based Data Warehouse.

You will work within our Business Intelligence team, which consists of Data Engineers, Data Scientist and Data Analysts. Furthermore, you will work closely with other IT departments to ensure the operation of our data warehouse. Our Data Engineers work with the latest technologies to build our Data Warehouse as the single point of truth for the company.