Your mission

• You support our clients in designing, implementing and bringing modern data platforms and data-management solutions into productive use

• You design data‑warehouse and lakehouse architectures from the initial idea through to live operation

• You develop and operate robust ETL/ELT pipelines, ensuring proper monitoring and reliable error handling

• You model data and implement performant data structures for analytics and BI applications

• You integrate diverse data sources into a consistent and reliable data foundation

• In your role, you implement data quality and governance pragmatically, creating transparency and traceability across data flows

• You provide data for analytics and BI and support the delivery of dashboards and reports

• Working closely with business teams, you capture requirements in workshops and translate them into robust technical concepts

Your profile

• A completed degree in Computer Science, Data/Analytics, (Business) Engineering or a comparable qualification, along with around two years of hands‑on experience in a data‑related role

• Very strong SQL skills, including window functions, sound data modelling and performance basics, as well as good, hands‑on Python skills for data processing and automation

• A solid understanding of data‑warehouse concepts and modern lakehouse architectures, combined with initial experience in analytics and BI setups

• Practical experience with Power BI or Qlik Sense, particularly in data modelling, measures and basic publishing topics

• Enjoyment of consulting work, a structured way of working and a strong team mindset, combined with very good German and good English skills

• Ideally, you also bring initial exposure to cloud platforms, modern data tools, data quality or governance topics, or SAP data models – industry experience is a plus, but not a must

What do we offer you?

• A varied role with a high level of responsibility

• Continuous learning and development opportunities

• A mentoring programme

• A friendly, close‑knit and supportive working environment

• Team events and company retreats

• Mobility benefits

• Great, centrally located office in Munich

• Free drinks, fruit and yoghurts in the office

• Company laptop and company mobile phone

• Sports and fitness offers

Your mission

• As part of our AI development team, you work directly on challenging consulting projects for national and international clients

• You take end‑to‑end ownership of solution design for AI‑enabled products – from discovery and PoC through to production rollout

• You translate business requirements into clear technical concepts, including architecture, interfaces, data flows, and quality and acceptance criteria

• When designing and validating systems, you consider scalability, security, latency, reliability and cost.

• You build and iterate prototypes, for example using prompting, RAG approaches, agents or function calling, to validate feasibility and business value early on

• You actively help define standards and patterns for AI and LLM solutions – from model selection and prompt and context design to evaluation strategies and quality gates

• You establish LLMOps and MLOps practices, including versioning, CI/CD, automated testing, monitoring, feedback loops and continuous improvement

• You integrate AI capabilities into existing platforms, for example via APIs and event‑driven or service‑oriented architectures

• You embed responsible AI by design, taking data privacy (GDPR), security, bias and safety considerations, and auditability into account from the start

• As a technical sparring partner, you support and mentor engineers, align with stakeholders and communicate complex topics clearly to non‑technical audiences

Your profile

• A degree in Computer Science, Information Technology or equivalent professional experience

• A strong software engineering background (backend and/or full stack), combined with a product mindset and consulting experience

• Hands‑on experience delivering (generative) AI solutions into production, not limited to demos or prototypes

• Solid knowledge of common LLM application patterns, including RAG, graph‑based approaches, embeddings, vector search, tool or function calling, agents and guardrails

• Experience with at least one LLM framework or stack, such as Semantic Kernel, LangChain or LlamaIndex, as well as structured prompt engineering

• The ability to evaluate AI systems systematically, including offline and online evaluation, benchmark design, qualitative reviews and regression testing for prompts and retrieval

• Experience with distributed systems and modern integration patterns such as APIs, microservices, service‑oriented architectures and event‑driven design

• Proficiency in at least one programming language and framework, for example Python, TypeScript/Node.js, C# or Java, along with strong API design skills

• Solid cloud knowledge across Azure, AWS or GCP; experience with Azure AI services (e.g. Azure OpenAI, Azure AI Search, Document Intelligence) is a plus

• A DevOps mindset, including Git, CI/CD, containers, infrastructure as code (e.g. Terraform or Bicep), observability (logs, metrics, tracing) and cost awareness

• Security fundamentals, such as OAuth2/OIDC, authentication and authorisation, secrets management, encryption and secure coding practices

• Technical leadership or mentoring experience is a plus, complemented by strong communication skills, a proactive attitude, problem‑solving capability and attention to detail

• Fluent English for close collaboration within the team; German is a plus, but not mandatory

What do we offer you?

• A varied role with a high level of responsibility

• Continuous learning and development opportunities

• A mentoring programme

• A friendly, close‑knit and supportive working environment

• Team events and company retreats

• Mobility benefits

• Great, centrally located office in Munich

• Free drinks, fruit and yoghurts in the office

• Company laptop and company mobile phone

• Sports and fitness offers

Your mission

• Become part of our consulting team and actively contribute to client projects in procurement and digital transformation after your onboarding
• Design, configure, and implement modules of procurement software solutions (Coupa, Jaggaer, Ivalua, and others)
• Configure and optimize the software solution according to defined specifications
• Conduct workshops to analyze and define client-specific integrations and processes
• Moderate unit tests and system validations
• Continuously develop best practices and contribute to a scalable, future-proof solution architecture
• Train users and support clients in using the software
• Maintain close communication with clients and team members to ensure project success
• Contribute to knowledge management and documentation

Your profile

• You hold a degree in Information Systems, Computer Science, Business Management, Economics, or equivalent qualification
• You have at least 3 years of experience in managing and implementing IT projects
• You have a good understanding of procurement, purchasing, and finance processes (e.g., AP, P2P, S2C)
• You have general knowledge of ERP systems (SAP ECC / S/4HANA, Oracle, MS Dynamics)
• You have a strong communication profile, with confidence in negotiations and in interacting with internal and external stakeholders
• You work independently, in a structured way, with a high sense of responsibility
• You are proficient in project management tools, MS Office, and fluent in English to a degree where you can easily and professionally communicate, both, with your international colleagues and clients, coordinate projects and discuss any business-related matter. Fluency in German is a strong plus

What do we offer you?

• Work on diverse, interesting and innovative projects, broaden your skill set working with various state-of-the-art technologies, and experience a steep learning curve
• Benefit from excellent conditions to grow, both, professionally and personally in an inspiring work environment
• Be part of our healthy, diverse work culture. We promote a collegial and amicable work environment led by trust, cooperation, respect, and transparency
• Enjoy our modern and flexible working conditions with the option to work remotely or in a vibrant coworking space
• Join our network and work in close contacts with international experts in the field
• Receive an attractive salary package with additional social benefits such as
  1. Paid-leave day on your birthday
  2. Two additional paid vacation days
  3. Paid opportunities for further training and education