Principal Data Engineer developing AI and Big Data platforms at Alexander Thamm GmbH. Handling data pipelines, operationalizing models, and leading engineering projects within a collaborative team environment.
Responsibilities
Design and build Big Data / Analytics / AI platforms
Develop and scale data pipelines on cloud architectures
Operationalize statistical and AI models
Advise clients on and select technology stacks
Take a leading role in client communication
Build Data Engineering expertise within the company through training and projects
Requirements
University degree in Computer Science, Data Engineering, or another mathematical/scientific field, or equivalent qualification
Strong communication skills (fluent) in German and English, and willingness to travel
At least 6 years of full-time professional experience as a Data Engineer
At least 5 years of practical experience with common programming languages such as Python, Scala, SQL
At least 4 years of experience with Big Data technologies, especially Spark / Kafka
At least 4 years of experience with cloud components (AWS / Azure / GCP)
Experience with at least one of the following technologies: Databricks / Snowflake / AWS SageMaker / Azure Synapse
Experience with IaC tools such as Terraform, AWS CDK, or similar, as well as CI/CD processes and tools
Nice to have: experience with UNIX systems and network configuration
Benefits
Work–life balance with trust-based working hours and flexible schedules
Option for workation from within the EU
Unique team atmosphere with flat hierarchies
Open feedback culture
Annual team workshops
Buddy program to support networking
Regular professional and social events
Dog-friendly offices
Comprehensive onboarding and induction process
Personal development plan and individual training opportunities
Access to a wide range of workshops and courses in the Data.Academy
Childcare allowance
Company pension scheme with a 20% employer contribution
Corporate benefits & employee offers
Starter credit in our merchandise shop
Competitive salary with variable components
Mental health & wellbeing support
Coaching and meditation through nilo.health
Fitness and yoga rooms in the Munich office
Regular employee surveys
EGYM Well Pass membership with Plus1 option
Bike leasing via JobRad after the probation period
Internal groups for sporting activities
Free hot and cold drinks and fresh fruit in the office
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