Your tasks

Are data and AI your domain? Furthermore, your new challenge will be as follows:

• Conceptualization and development 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, including 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 regarding the advantages and disadvantages of various technology stacks, tailored to the use cases and the company environment.
• Taking on a leading role in customer communication and managing engineering projects with technical responsibility for a development team and the project results
• Building data engineering expertise within the company, e.g., through conducting internal training sessions, leading internal projects, and actively participating in the engineering community.

Your profile

Is data also in your DNA? Here's 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 as part of a consulting role.
• 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 5 years of practical experience with 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 AWS/Azure/GCP environment.
• 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, etc., as well as with common CI/CD processes and tools.
• Nice to have: Experience with UNIX systems and network configuration

We offer

Data drives us! Find out here what awaits you on your personal journey:

Work-Life Balance:

Trust-based working hours with flexible work arrangements – whether fully remote or in one of our modernly furnished city center offices (including a rooftop terrace), workation – take advantage of the opportunity to work from other EU countries.

Culture & Collaboration:

Unique team atmosphere, flat hierarchies leading to our CEO Alex, and an open feedback culture; annual team workshops at our Data.Castle in the Zillertal valley; the Data.Musketeer principle in action – “one for all, all for one!”; our [at] Buddy program for better networking; regularly held professional and leisure events; dog-friendly offices.

Professional & Personal Development:

Intensive onboarding and training process, personal development plan and individual training opportunities; diverse workshop and training program within the Data.Academy by our experienced Data.Musketeers and external providers; management, project manager, and expert career paths.

Compensation & Benefits

: Childcare allowance, company pension scheme with a 20% subsidy, numerous corporate benefits and employee offers (e.g., for events and travel), starting credit in our internal [company/organization]. 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, bicycle leasing via Jobrad after the probationary period, internal groups for sports activities, free hot and cold drinks as well as fresh fruit in the office, roof terrace (grill),

mobility:

subsidy for the Deutschlandticket (Germany ticket), central location of the offices, good public transport connections, possibility to work from other locations