Principal Data Engineer (m/f/d)

Start Date

We are looking for you immediately at one of our German locations in Munich, Nuremberg, Essen, Leipzig, Berlin or Frankfurt am Main!

Your Responsibilities

Are Data and AI your home? Furthermore, your new challenge will be structured as follows:

• Conceptualization and setup of Big Data / Analytics / AI platforms, including DevOps workflows, IaC, CI/CD, IAM and Monitoring & Alerting
• Conceptualization, development and scaling of data pipelines on 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 results from Data Scientists, in order to make them available for productive use or to automate them
• Selection and consultation of clients on the advantages and disadvantages of various technology stacks, tailored to the use cases and the company's environment
• Taking a leading role in customer communication and leading engineering projects with professional responsibility for a development team and project results
• Building Data Engineering expertise within the company, e.g., by conducting internal training sessions, leading internal projects, and actively participating in the Engineering Community

Your Profile

Is Data also in your DNA? This is what you should bring:

• Successfully completed studies in Computer Science, Data Engineering, or another mathematical/scientific field, or a comparable qualification
• Strong communication skills (fluent) in German and English, as well as willingness to travel in the context of consulting activities
• 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 Big Data technologies, especially Spark / Kafka, distributed storage systems, OpenTable formats, and cluster computing
• At least 4 years of experience working with various cloud components (Object Storage, Databases, Message Services, ETL / ELT Engines, Security, Scheduling, Operations, Monitoring, etc.) in the areas of 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

We Offer

Data moves us! Here's what awaits you on your personal journey:

Work-Life Balance
Trust-based working hours with flexible working time arrangements - whether fully remote or in one of our modernly furnished city offices (incl. rooftop terrace), workation - take the opportunity to work from EU countries
Culture & Collaboration
Unique team atmosphere, flat hierarchies to our CEO Alex, and an open feedback culture, annual team workshops at our Data.Castle in Zillertal, lived Data.Musketeer principle – “one for all, all for one!”, our [at] Buddy Program for better networking, regularly held technical and leisure events, dog-friendly offices
Professional & Personal Development
Intensive onboarding & integration process, personal development plan and individual training opportunities, diverse workshop and training offerings within the Data.Academy by our experienced Data.Musketeers as well as external providers, leadership, project management, and expert career paths
Compensation & Additional Benefits
Childcare 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 & Well-being
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, bicycle leasing via Jobrad after the probationary period, internal groups for sports activities, free hot and refreshing drinks as well as fresh fruit in the office, rooftop terrace (grill)
Mobility
Subsidy for the Deutschlandticket, central location of the offices, good public transport connections, possibility to work from other locations

Contact Person

Janine Sauer, Senior HR Manager

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