Job
- Level
- Lead
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Stuttgart, Berlin, Munich, Frankfurt, Essen, Leipzig
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will design Big Data and AI platforms, develop data pipelines, operationalize AI models, and lead engineering projects with teams to create innovative cloud-based data solutions.
Job Technologies
Your role in the team
Are Data and AI your home? Furthermore, your new challenge is as follows:
- Design and development of Big Data / Analytics / AI platforms, including DevOps workflows, IaC, CI/CD, IAM, and Monitoring & Alerting.
- Design, development, and scaling of data pipelines across various cloud architectures, incorporating data quality measures as well as the design and implementation of data models.
- Operationalization of statistical and AI models as well as the results of data scientists to make them available for productive use or to automate them.
- Selection and consulting of clients on the advantages and disadvantages of various technology stacks, tailored to the use cases and the environment within the company.
- Assuming a leading role in customer communication and managing engineering projects with technical responsibility for a development team and project outcomes.
- Building Data Engineering expertise within the company, e.g., by conducting internal training sessions, leading internal projects, and actively participating in the Engineering community.
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Our expectations of you
Education
- Successfully completed studies in Computer Science, Data Engineering, or a related mathematical/scientific field, or an equivalent qualification.
Qualifications
Is data also in your DNA? Here's what you should bring:
- Strong communication skills (fluent) in German and English, as well as willingness to travel within the scope of consulting activities.
- At least 5 years of practical experience with common programming languages such as Python, Scala, SQL, and developer tools like GIT.
Experience
- At least 6 years of full-time professional experience as a Data Engineer in the design and implementation of data platforms and data management processes or in a similar professional field.
- At least 4 years of implementation experience with Big Data technologies, particularly Spark / Kafka, distributed storage systems, OpenTable formats, and cluster computing.
- At least 4 years of experience working with a wide range of cloud components (Object Storage, Databases, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) in the AWS / Azure / GCP domain.
- Experience with at least one of the following technologies: Databricks / Snowflake / AWS Sagemaker / Azure Synapse / similar data analytics platforms.
- Experience with IaC tools such as Terraform, AWS CDK, or similar, as well as with common CI/CD processes and tools.
- Nice to have: Experience with UNIX systems and network configuration
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Benefits
Work-Life-Integration
- 🏖️Workation
- 🍼Day Care for Kids
- 🚌Excellent Traffic Connections
- 🐕Animals Welcome
- 🏠Home Office
- ⏰Flexible Working Hours
Health, Fitness & Fun
More net
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Alexander Thamm GmbH
We're the pioneering data science consulting firm in the German speaking region. Our Munich-based company, founded by Alexander Thamm in 2012, was the first to exclusively specialize in analytics, data science and big data. We help our clients gain a competitive edge and added value through big data.
Description
- Founding year
- 2012
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)4.1
Culture
4.5Workingconditions
4.0Engineering
3.8Career Growth
4.4
