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Natural Language Processing-Jobs in Deutschland

Senior Data Architect / Data Engineer (f/m/d) – Focus NLP

STATWORX GmbH

Frankfurt
Hybrid
EUR 70.000 - 90.000
Heute
Sei unter den ersten Bewerbenden
Ich möchte über neue Stellenangebote mit dem Stichwort „Natural Language Processing“ benachrichtigt werden.

Trainee Data Science (f/m/d) Focus NLP

STATWORX GmbH

Frankfurt
Hybrid
EUR 42.000 - 60.000
Vor 2 Tagen
Sei unter den ersten Bewerbenden

Machine Learning Engineer – NLP, LLMs, Python – Remote – €100,000

NLP PEOPLE

Frankfurt
Remote
EUR 100.000
Vor 9 Tagen

Founding AI/NLP Engineer (m/w/d)

FAST AI Movies

Garching bei München
Vor Ort
Vertraulich
Vor 13 Tagen

Masterand Natural Language Processing (w/m/x)

BMW Group

München
Hybrid
EUR 40.000 - 60.000
Vor 16 Tagen
discover more jobs illustrationEntdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen. Jetzt mehr Stellenangebote entdecken

Professorship (m / f / d) for Natural language processing and information systems

Universität Hildesheim

Hildesheim
Vor Ort
EUR 40.000 - 60.000
Vor 18 Tagen

Business Development Manager – KI-Lösungen (m/w/d)

Volksbank BRAWO eG

Braunschweig
Vor Ort
EUR 45.000 - 65.000
Vor 30+ Tagen

Operator NLP (m/w/d)

Bertrandt AG

Frankfurt
Vor Ort
EUR 45.000 - 55.000
Vor 30+ Tagen
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Senior Data Scientist/NLP (m/f/d)

LexisNexis

Bonn
Hybrid
EUR 75.000 - 100.000
Vor 30+ Tagen

Senior Data Scientist / NLP (m / f / d)

RELX

Bonn
Hybrid
EUR 65.000 - 90.000
Vor 30+ Tagen

Senior Data Scientist/NLP (m/f/d)

LexisNexis

Berlin
Hybrid
EUR 70.000 - 90.000
Vor 30+ Tagen

PhD position in NLP (syntax/semantics)

NLP PEOPLE

Heidelberg
Vor Ort
EUR 60.000 - 80.000
Vor 30+ Tagen

Machine Learning Scientist, NLP

NLP PEOPLE

Berlin
Vor Ort
EUR 70.000 - 90.000
Vor 30+ Tagen

/ Data Scientist NLP and Text Mining (f/m/d)

Digitaltreiber UG

Frankfurt
Vor Ort
EUR 60.000 - 80.000
Vor 30+ Tagen

Senior Software Developer (Text Processing / NLP)

Chenope

Berlin
Vor Ort
EUR 65.000 - 85.000
Vor 30+ Tagen

Senior Software Engineer - Machine Learning (NLP Focus)

Mitratech Holdings Inc

München
Vor Ort
EUR 65.000 - 90.000
Vor 30+ Tagen

Senior Fullstack Developer / Engineer - Python, React, TypeScript (NLP + ESG) - main residence:[...]

score4more GmbH

Berlin
Vor Ort
Vertraulich
Vor 30+ Tagen

Staff Data Scientist - (Quick Commerce)

Delivery Hero Austria

Berlin
Hybrid
EUR 70.000 - 110.000
Vor 30+ Tagen

Position in Computational Linguistics

NLP PEOPLE

Tübingen
Vor Ort
EUR 40.000 - 70.000
Vor 30+ Tagen

Senior Software Engineer - Machine Learning (NLP Focus)

Mitratech

München
Hybrid
EUR 55.000 - 85.000
Vor 30+ Tagen

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Natural-Jobs
Senior Data Architect / Data Engineer (f/m/d) – Focus NLP
STATWORX GmbH
Frankfurt
Hybrid
EUR 70.000 - 90.000
Vollzeit
Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading data consulting firm in Frankfurt is seeking an experienced Data Engineer specializing in NLP and data architectures. You will work on exciting projects, implement scalable data solutions, and mentor junior colleagues. Candidates need a Master's degree, at least five years of experience, and fluency in English plus advanced German skills. The role offers a flexible work setup and excellent professional development opportunities.

Leistungen

Subsidized Germany Ticket
Discounted sports and wellness programs
High-quality IT equipment

Qualifikationen

  • At least five years of relevant professional experience in data engineering or data architecture.
  • Experience building data infrastructures for NLP applications is a plus.
  • Fluent in English and have advanced German skills, or willing to improve.

Aufgaben

  • Combine classical data engineering with modern NLP approaches.
  • Design, develop and operate modern data architectures.
  • Implement scalable data pipelines and infrastructures.

Kenntnisse

Python
SQL
Bash/Shell
Data governance
Analytical thinking
NLP applications
Cloud platforms (Azure, AWS, GCP)
Infrastructure-as-Code

Ausbildung

Master’s degree in (Business) Informatics, Computer Science, or related field

Tools

Databricks
Snowflake
Jobbeschreibung
About us

With deep expertise in Data Engineering, Data Science, and Machine Learning, we help our clients unlock the full potential of their data.statworx is a leading consulting and development company for data and AI, based in Frankfurt am Main. We offer strategic consulting for medium-sized businesses and global corporations. We develop innovative data and AI solutions across all business areas and corporate functions. We empower people at all levels of expertise with our data and AI education formats. In short: We support companies in all aspects of digital transformation – for over 10 years, in more than 1000 data and AI projects, and for over 100 clients from almost all industries.

Your tasks
  • 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

Apply via the application form and upload your current CV including a description of your software and methodological skills. Afterwards, we will then contact you as soon as possible. If you have any questions concerning your application or our vacancies, you can reach us by telephone at +49-(0)69 6783-0676-5 or viajobs@statworx.com.

What is particularly important to us is that we value the uniqueness of each individual and always treat each other as equals. Diverse 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, as well as sexual orientation and identity.

* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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