Data Engineer PySpark

What you'll do

• You will implement and optimize data warehouses and ETL pipelines
• You empower your colleagues and learn through exchange, training and project experience
• You develop modern and highly automated data platforms with us for large customers in different industries and thus make an active contribution to digitalization
• You integrate data from a wide range of data sources into a central data warehouse or data lake based on modern technologies or make it available via scalable and robust services and APIs
• Together with software developers and data analysts, you generate valuable insights from large amounts of data
• You responsibly manage the lifecycle of Big Data ecosystems (platform, integration, migration)

Who you are

• You have knowledge of Python/PySpark
• You are familiar with the concept of a data warehouse/DWH
• You are familiar with Microsoft Azure Cloud and worked in Databricks
• You have a sound knowledge of software development
• You have experience in data structures and at least one database technology (e.g. MS SQL, PostgreSQL) and a good understanding of relational data modelling (e.g. RDBMS, SQL)
• You are curious to always get to know a new technology and like to learn in exchange with your colleagues

Good to know

• Personal and professional career development plan, education budget, paid certifications, language courses
• Innovative projects with prestigious international customers
• Competitive working conditions and full time employment
• Flexible working schedule and possibility to work from home
• Mentorship and onboarding program
• Private health insurance, fit pass
• Monthly team events to support team oriented culture
• Referral program and jubilee awards
• Minimum 22 days of vacation + extra days off
• Refreshments, Fruits, Sweets, Snacks and lunch on Tuesdays
• Cozy lounge room and terrace to relax and hang out