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PCG DACH

Data & AI Engineer

PCG DACH

(Senior) Data & AI Engineer implementing machine learning and generative AI solutions for clients at Public Cloud Group in Germany. Join a dynamic team pushing digital transformation in cloud services.

Posted 4/30/2026full-timeRemote • 🇩🇪 GermanyJuniorWebsite

Tech Stack

Tools & technologies
AWSAzureBigQueryCloudPythonSQL

About the role

Key responsibilities & impact
  • Shaping forward-looking AI solutions: You are responsible for designing and developing modern machine learning solutions to sustainably solve our clients' complex challenges.
  • Building intelligent GenAI architectures: You design and integrate innovative Generative AI solutions and RAG architectures and support the development of modern agentic tools.
  • Orchestrating modern cloud AI services: You confidently use and connect AI services from leading hyperscalers such as Google Vertex AI and Azure AI Foundry to fully leverage technological potential.
  • Bridging to production (MLOps): You not only develop ML models but ensure their smooth integration into production systems through professional engineering and operationalization (MLOps).
  • End-to-end support & consulting: As a trusted technical advisor you guide our clients from the first creative ideation (PoC) to the successful production rollout of their AI use cases.
  • Driving technological trends: You keep an eye on the AI market, evaluate new technologies with curiosity, and actively help evolve our Data & AI area with your initiatives.

Requirements

What you’ll need
  • Solid project experience: You have several years of experience in IT projects, during which you have worked intensively with machine learning, AI, and modern data processing.
  • Confidence in cloud environments: You are comfortable with at least one of the three major hyperscalers (AWS, Google Cloud, or Microsoft Azure) and know how to make use of their capabilities.
  • Proficiency in Python & frameworks: You are proficient in Python and bring practical experience with common ML/AI frameworks to our projects.
  • Practical experience with AI ecosystems: You have actively worked with platforms such as Vertex AI, AWS Bedrock, or Azure AI Foundry and implemented solutions on them.
  • Enthusiasm for GenAI: You have hands-on experience with LLMs and prompt engineering and have already created initial agentic workflows (e.g., via LangChain or LlamaIndex).
  • Holistic architectural understanding: You understand the basics of API development and cloud architectures to integrate AI models seamlessly and reliably into existing systems.
  • Strong communication skills: You enjoy explaining complex AI concepts clearly and supporting our clients in their strategic decisions.
  • Data engineering foundations: Ideally you have a solid foundation in SQL or modern data warehouses (e.g., BigQuery, Snowflake) to independently drive data preparation for your models.
  • Knowledge of vector databases: You have had first contact with vector databases (e.g., Vertex AI Vector Search, Azure AI Search, or pgvector).
  • Relevant certifications: You have completed or are willing to obtain certifications in machine learning/AI for Google and Azure with our support. Ideally you also bring knowledge of AWS Bedrock.
  • Team player with drive: You demonstrate result orientation and enjoy collaborating with our diverse, passionate team of experts.

Benefits

Comp & perks
  • Pure flexibility: Work the way that fits your life — remote or in the office, anywhere in Germany or from one of our offices (Magstadt, Darmstadt, Berlin, Munich, Hamburg, Cologne, Ulm, Heidelberg, Frankfurt).
  • Workation: Work & discover new places — benefit from up to 30 days of workation per year.
  • Time off: Recharge with 30 days of vacation per year.
  • Your hardware, your choice: Mac, Windows, or Linux — you decide what you prefer to work with.
  • Career growth: Training, labs, and certifications at AWS, Azure, Google & SAP — we boost your cloud know-how.
  • Meaningful feedback: Regular development and salary discussions so you always know where you stand.
  • More than basics: Choose between Spendit Card, Wellpass, or the Deutschlandticket. Additionally, childcare subsidy and bike leasing are available as extra benefits for life beyond the laptop.
  • Team spirit: Whether team events (or hackathons), a summer party, or a Christmas celebration — we celebrate successes together.

ATS Keywords

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Hard Skills & Tools
machine learningGenerative AIMLOpsPythonprompt engineeringAPI developmentSQLdata processingcloud architecturedata preparation
Soft Skills
strong communication skillsresult orientationteam playertechnical advisorycuriositycollaborationstrategic decision supportcreative ideationinitiativeholistic understanding
Certifications
machine learning certificationAI certificationGoogle certificationAzure certificationAWS Bedrock knowledge