Asks for

The ad says“You are experienced with cloud platforms (Azure, AWS, or GCP) and data platforms such as Databricks or Snowflake”
The ad says“You are experienced with cloud platforms (Azure, AWS, or GCP) and data platforms such as Databricks or Snowflake”
The ad says“You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)”
The ad says“You have excellent programming skills in Python, SQL, and Bash/Shell, and you write clean, efficient, and maintainable code”
The ad says“You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)”
The ad says“You have at least five years of relevant professional experience in data engineering or data architecture”
The ad says“You have at least five years of relevant professional experience in data engineering or data architecture”
The ad says“You have a strong understanding of modern data architectures (Data Lakes, Lakehouses, Data Warehouses) and are experienced in ETL/ELT processes and data modeling”
The ad says“You are experienced with cloud platforms (Azure, AWS, or GCP) and data platforms such as Databricks or Snowflake”
The ad says“You have a strong understanding of modern data architectures (Data Lakes, Lakehouses, Data Warehouses) and are experienced in ETL/ELT processes and data modeling”
The ad says“You are experienced with cloud platforms (Azure, AWS, or GCP) and data platforms such as Databricks or Snowflake”
The ad says“You understand the importance of data governance, security, and privacy (e.g., GDPR) and incorporate these principles into your architectural design”
The ad says“You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)”
The ad says“You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)”
The ad says“You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)”
The ad says“Ideally, you have experience building data infrastructures for NLP applications – especially in the context of LLMs, Retrieval-Augmented Generation (RAG), semantic layers, and knowledge graphs”
The ad says“Ideally, you have experience building data infrastructures for NLP applications – especially in the context of LLMs, Retrieval-Augmented Generation (RAG), semantic layers, and knowledge graphs”
The ad says“Ideally, you have experience building data infrastructures for NLP applications – especially in the context of LLMs, Retrieval-Augmented Generation (RAG), semantic layers, and knowledge graphs”
The ad says“You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)”
The ad says“You have excellent programming skills in Python, SQL, and Bash/Shell, and you write clean, efficient, and maintainable code”
The ad says“Ideally, you have experience building data infrastructures for NLP applications – especially in the context of LLMs, Retrieval-Augmented Generation (RAG), semantic layers, and knowledge graphs”
The ad says“Ideally, you have experience building data infrastructures for NLP applications – especially in the context of LLMs, Retrieval-Augmented Generation (RAG), semantic layers, and knowledge graphs”
The ad says“You are experienced with cloud platforms (Azure, AWS, or GCP) and data platforms such as Databricks or Snowflake”
The ad says“You have excellent programming skills in Python, SQL, and Bash/Shell, and you write clean, efficient, and maintainable code”
The ad says“You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)”
The ad says“Hands-on experience with text-to-SQL systems or developing interfaces between natural language and databases is a plus”

About us

statworx is a leading Data & AI Consulting and Development company in the DACH region. For more than a decade, we have been helping organizations succeed with consulting, development, and training – delivering over 1,000 successful projects for more than 100 clients across nearly every industry.

From AI strategy to implementation, we develop innovative solutions. With expertise in AI Strategy, Generative AI, Agentic AI, Data & AI Engineering, and AI Infrastructure, we support organizations throughout their entire AI transformation journey.
Our goal: Creating value from Data & AI.

Our AI Development department acts as a catalyst for data and AI transformation. We take a holistic approach that spans the entire journey — from assessing AI maturity to designing, developing, and scaling end-to-end data and AI solutions.

Your tasks

Focus: Data pipelines and provisioning for NLP and LLM-based applications

Combine classical data engineering with modern NLP approaches – particularly in the context of Large Language Models (LLMs), embeddings, knowledge graphs, Retrieval-Augmented Generation (RAG), and text-to-SQL applications
Design, develop, and operate modern data architectures that form the foundation for advanced NLP applications – from knowledge management systems and semantic search solutions to RAG use cases
Work closely with our clients to understand their business requirements and data processes, and translate them into tailored, scalable data and AI solutions
Implement scalable data pipelines and infrastructures to efficiently provide, transform, and version large volumes of structured and unstructured data
Ensure data quality, security, and governance along the entire value chain, and establish best practices for handling sensitive data in AI projects
Build and operate scalable data infrastructures in cloud environments, and automate deployments and monitoring systems to ensure reliability and availability
Provide strategic advice to clients and internal teams on data architecture, technologies, tools, and best practices, acting as a trusted advisor
Support and mentor junior colleagues, share your knowledge within the team, and contribute to the development of statworx’s data engineering community through workshops, blog posts, or internal talks

Your profile

You hold a Master’s degree in (Business) Informatics, Computer Science, or a related field
You have at least five years of relevant professional experience in data engineering or data architecture
You have a strong understanding of modern data architectures (Data Lakes, Lakehouses, Data Warehouses) and are experienced in ETL/ELT processes and data modeling
Ideally, you have experience building data infrastructures for NLP applications – especially in the context of LLMs, Retrieval-Augmented Generation (RAG), semantic layers, and knowledge graphs
Hands-on experience with text-to-SQL systems or developing interfaces between natural language and databases is a plus
You are experienced with cloud platforms (Azure, AWS, or GCP) and data platforms such as Databricks or Snowflake
You are familiar with Infrastructure-as-Code (e.g., Terraform, Pulumi) and CI/CD workflows (e.g., GitHub Actions, GitLab CI, Azure DevOps)
You have excellent programming skills in Python, SQL, and Bash/Shell, and you write clean, efficient, and maintainable code
You understand the importance of data governance, security, and privacy (e.g., GDPR) and incorporate these principles into your architectural design
You combine strong analytical thinking with the ability to translate business requirements into technical solutions and communicate effectively with stakeholders at all levels
You are fluent in English (written and spoken) and have advanced German skills — or are willing to actively improve them

Our offer

Data & AI consulting as our core business: Work on exciting projects with leading clients – from cutting-edge NLP use cases to complex data science and machine learning solutions
Depth and diversity: Engage with challenging, multifaceted problems and continuously expand your expertise in data science, machine learning, and AI
Continuous development: We support your professional and personal growth through regular feedback, tailored learning opportunities, and our mentoring program
Culture and collaboration: Experience an open, inclusive, and respectful working environment with flat hierarchies, short decision-making paths, and a strong sense of team spirit
Agile mindset: We embrace a modern, iterative way of working characterized by transparency, autonomy, and space for new ideas
Transparent compensation: Enjoy fair, structured salary bands that are regularly reviewed and adjusted to market developments
Flexible work setup: Our modern Frankfurt office is your main place of work – at the same time, you have the flexibility to work remotely on a regular basis and up to four weeks per year from within the EU
Mobility & well-being: Benefit from a subsidized Germany Ticket and discounted access to sports and wellness programs via Wellpass
Equipment & extras: High-quality IT equipment (e.g., MacBook Pro), regular team events, childcare support, and attractive employee discounts complete your package

Your application

Simply apply via the application form and attach your current CV including a description of your methodological skills. We will contact you as soon as possible. If you have any questions on your application, you can reach us at jobs@statworx.com.

What is particularly important to us is that we value the uniqueness of each person and always treat each other as equals. Different backgrounds, attitudes and ideas enrich us and form the basis of our success. That's why we welcome every application - regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, or sexual orientation and identity.