Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - AI Products in EMEA. This role offers the opportunity to shape the foundations of a cutting-edge AI and data platform in a rapidly scaling SaaS environment. As a Senior Data Engineer, you'll be responsible for building the pipelines, systems, and frameworks that fuel AI-powered features, directly impacting how users interact with the product. You'll focus on Python-first development, vector databases, embeddings, and retrieval-augmented generation, while collaborating across product and platform teams to ensure seamless integration. The position requires both technical excellence and a strategic mindset, as your work will set standards for data quality, performance, and reliability in AI workflows. This is a fully remote role, open to candidates physically based in EMEA.

Accountabilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes to feed AI-driven features.
• Develop and optimize embeddings, vector databases, and RAG systems to support advanced AI applications.
• Experiment with and implement LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex.
• Collaborate with cross-functional teams to ensure smooth integration of data workflows into core services.
• Establish best practices for data quality, observability, and performance across AI workflows.
• Support the deployment and monitoring of Python-based AI services in production environments.

Requirements

• 5+ years of experience in data or backend engineering, ideally within SaaS.
• Strong expertise in Python, with exposure to frameworks such as FastAPI, Pandas, or PyTorch/TensorFlow.
• Solid experience with SQL, relational databases, and data modeling.
• Familiarity with embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Exposure to AI frameworks for RAG or orchestration (LangChain, etc.).
• Proven ability to collaborate across teams and integrate pipelines into larger systems.
• Bonus: experience with cloud platforms (AWS, GCP) and workflow automation tools (Airflow, Dagster).

Benefits

• Competitive compensation aligned with local market rates.
• Fully remote flexibility: work from anywhere in your country of residence.
• Equity options that allow you to share in the success of a fast-growing, profitable company.
• Professional growth opportunities fueled by rapid scaling and international expansion.
• Annual paid leave aligned with country-specific regulations and norms.
• Country-specific benefits such as healthcare and pensions, depending on location.
• Dynamic, values-driven culture within a diverse team spanning more than 40 countries.