Senior Data Engineer - AI Products - Remote - EMEA

Jobgether; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A technology recruitment partner is seeking a Senior Data Engineer to build scalable data pipelines for AI-driven features. This fully remote role requires expertise in Python and data engineering, with a strong emphasis on collaboration across teams. Ideal candidates will have over 5 years of experience within SaaS and be familiar with vector databases and AI frameworks. Competitive compensation and remote flexibility offered.

Benefits

Competitive compensation

Fully remote flexibility

Equity options

Professional growth opportunities

Annual paid leave

Country-specific benefits

Diverse team culture

Qualifications

• 5+ years of experience in data or backend engineering, ideally within SaaS.
• Strong expertise in Python and related frameworks.
• Experience with SQL and relational databases.
• Familiarity with vector databases and embeddings.

Responsibilities

• Design and maintain scalable data pipelines for AI features.
• Develop embeddings and vector databases for AI applications.
• Collaborate with teams to integrate data workflows.
• Ensure data quality and performance across workflows.

Skills

Python

Data engineering

Collaboration

SQL

Tools

FastAPI

Pandas

PyTorch/TensorFlow

Airflow

Dagster

AWS

GCP

Job description

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.