Principal Data Engineer

Data and AI are your home? Furthermore, your new challenge is as follows:

• Conception and setup of Big Data / Analytics / AI platforms, including DevOps workflows, IaC, CI/CD, IAM, and Monitoring & Alerting
• Conception, development, and scaling of data pipelines on various cloud architectures, including data quality measures, as well as the design and implementation of data models
• Operationalization of statistical and AI models and results from data scientists to make them available for productive use or to automate them
• Selection and consulting of clients on the advantages and disadvantages of different technology stacks, suitable for the use cases and the company environment
• Taking a leading role in client communication and managing engineering projects with technical responsibility for a development team and project results
• Building Data Engineering expertise within the company, e.g., by conducting internal training, leading internal projects, and actively participating in the Engineering Community, Intensive onboarding & induction process, personal development plan and individual further training opportunities, diverse workshop and training offers within the Data.Academy by our experienced Data.Musketeers as well as external providers, leadership, project manager and expert career paths

• Successfully completed studies in Computer Science, Data Engineering, or another mathematical/natural science field or a comparable qualification
• Strong communication skills (fluent) in German and English, as well as willingness to travel within the scope of a consulting activity
• At least 6 years of full-time professional experience as a Data Engineer in the conception & implementation of data platforms and data management processes or in a similar professional field
• At least 5 years of practical application of common programming languages such as Python, Scala, SQL and developer tools such as GIT
• At least 4 years of implementation experience with BigData technologies, especially Spark / Kafka, distributed storage systems, OpenTable formats and cluster-computing
• At least 4 years of experience dealing with various cloud components (Object Storage, Databases, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) in AWS / Azure / GCP
• 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

• Competitive salary: Starting from 82,500 EUR per year
• Pension Plan
• Kita subsidy
• Company pension scheme with 20% subsidy
• Numerous Corporate Benefits & employee offers (e.g., for events and travel)
• Starting credit in our internal merchandise shop
• Competitive salary with variable components

Health & Wellbeing

Mental Health & Wellbeing Support as well as 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 probationary period, internal groups for sports activities, free hot and cold drinks and fresh fruit in the office, roof terrace (BBQ)

Alexander Thamm GmbH is the first data science consultancy in the German-speaking countries. We offer our international clients a unique and holistic approach by combining our four fields of competence Business Processes, Data Intelligence, Predictive Analytics and Insights Visualization. We advise global corporations in various sectors such as automotive, energy, finance and consumer goods on topics related to digitization and data science.