Junior Data Engineer (M/F/D)

Key Skills

AI technology, Apache Airflow, Apache Kafka, Data Analytics, Databricks, English Proficiency, Python Programming, SAP, SPARK Programming, SQL

Job Description

Purpose & Overall Relevance for the Organization:

The purpose of this role is to explore various internal and external data sources, integrate those data sources, and prepare data for consumption in a lakehouse. This will happen in the context of creating an integrated analytical data model connecting the dots between data sources like Kafka, SAP, etc. You will have e2e ownership (with senior supervision) from acquiring the data through defined interfaces until integrated exposure in the analytical data model.

Are you looking for...

• Being part of our team that delivers unseen Insights generated from Data;
• Creating the data backbone powering Analytics and AI solutions that put decision-making on the next level;
• Working in the latest technologies such as Spark, Delta Lake, Airflow, Python, etc.;
• Use of Databricks to work in a Lakehouse concept.

What are we looking for

• Completed degree in Information Systems Engineering, Computer Science, or related areas;
• Internship experience in an IT-related environment;
• A developer able to create data applications using Python and SQL (mandatory);
• Fluency in English (mandatory).

What are we offering

• Competitive salary and benefits;
• Hybrid work policy and flexible working hours;
• Sports and work-life balance incentives;
• Upskilling and internal growth (local and international);
• International and diverse work environment;
• State-of-art office space and conditions.