Data Engineer assisting customers in creating intelligent data products while designing and managing data pipelines. Engaging in fast-paced projects to drive innovation across multiple sectors.
Responsibilities
assist our customers in the straightforward and transparent procurement of the necessary data to develop intelligent data products in various sectors (mobility, automotive, industry, consumer, finance, and non-profit organizations)
design, implement, and manage data pipelines for our customers (internally/externally)
work on fast-paced and innovative projects with the aim of delivering innovative solutions to our customers
continuously monitor and improve data pipelines
assist various stakeholders (internal/external) in making the right technological decisions
collect and process raw, structured, semi-structured, and unstructured data and use batch and real-time data processing frameworks.
Requirements
Python
ETL/ELT
Spark
Amazon Web Services (AWS)
Azure
CI/CD
Data Warehouse
+2 years of professional experience
a relevant degree
communication in English
Nice-to-have: Kafka, Redshift, Database Architecture, Data Architecture, Java, Golang, communication in German.
Benefits
Professional & Personal Growth: Develop yourself both professionally and personally through training programs, free language courses, competence centers and an active tech community.
Flexible Work-Life Balance: Benefit from hybrid work, workation, flexible hours, parental support and sabbaticals.
Embrace Diversity & Sustainability: Engage in our Sustainability Hub, diverse communities, Diversity Taskforce and after-work activities.
Comprehensive Benefits: Enjoy public transport tickets, job bikes, health offers, supplementary insurances, a pension plan and various discounts.
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