![Alexander Thamm [at] logo](/api/images/alexanderthamm.jpg)
Data Engineer Tech Lead developing data solutions at Carelon. Leading a cross - functional team to optimize data workflows and maintain data integrity.
About the role
- 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
- Rooftop terrace (grill)
Job title
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Experience level
Salary
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Degree requirement
Tech skills
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