AI Engineer, Data Visualization – AI Workflows

Statista

AI Engineer optimizing data visualization workflows and AI systems for Statista's business data platform. Collaborating with teams to enhance data usability and visual representation.

Posted 7/8/2026full-timeHamburg • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing AI-driven workflows, with strong skills in Python and a foundational understanding of Java for production environments. Proficient in data visualization principles and experienced in working with LLMs and data classification techniques.

Highest-signal resume keywords

Python ProgrammingAI-Powered Systems DevelopmentData Visualization PrinciplesLLM Prompt EngineeringAWS Familiarity

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ClassificationData StructuringData EnrichmentJava DevelopmentExperimentationPrototypingQuality Metrics DefinitionOutput Accuracy TrackingUser Value Assessment

Soft Skills

Product-Focused MindsetMotivation to Learn

Tools & Technologies

AWSEvent-Driven ArchitecturesMessaging Tools

Industry Keywords

Data WorkflowsVisualization TypesPrompt StrategiesQuality MetricsEnd-User Impact

Tech Stack

Tools & technologies

AWSJavaPython

About the role

Key responsibilities & impact

Build and optimize AI-driven workflows for data visualization and export
Develop systems that analyze datasets and recommend the most suitable visualization types
Design and evaluate LLM-based features, including prompt strategies and quality metrics
Work on data classification, structuring, and enrichment to improve usability
Turn experiments into production-ready services (Java-based backend)
Define and track quality and success metrics (e.g., output accuracy, user value)

Requirements

What you’ll need

Experience building data-driven or AI-powered systems (e.g., classification, RAG, data workflows)
Strong Python skills (analysis, experimentation, prototyping)
Pragmatic, product-focused mindset with an interest in end-user impact
Motivation to learn and work with Java in production
Knowledge of data visualization principles (chart types, best practices)
Experience with LLMs, prompt engineering, or evaluation frameworks
Familiarity with AWS, event-driven architectures, or messaging tools

Benefits

Comp & perks

Work from abroad up to 30 calendar days a year
Hybrid work and flexible hours
International team and social events
Subsidized urban mobility and access to fitness and wellness options
Free access to Langdock and all its features
Career and training opportunities
Attractive locations and modern offices
Mental health support with OpenUp
*Some benefits listed here apply only to the German entity and to junior-level roles or above.