Senior Data Engineer (AI-Native) - Data Layer

Jobgether • United Kingdom

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Build and scale core data infrastructure for AI-powered platform. Own architecture, pipelines, and systems. Collaborate with cross-functional teams to ensure data accuracy and reliability.

Key Highlights

Build and scale data infrastructure for AI-powered platform

Own architecture, pipelines, and systems for data accuracy and reliability

Collaborate with cross-functional teams to support AI-driven products

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Key Responsibilities

Own the development and evolution of the Data Layer

Design, build, and maintain reliable ingestion and transformation pipelines

Integrate and reconcile complex real-world data from various sources

Develop data models across raw, refined, and curated layers

Build systems that guarantee data reliability and accuracy

Improve the scalability, performance, and tooling of the data platform

Leverage AI-powered development tools to accelerate engineering workflows

Define and maintain data contracts in collaboration with other teams

Troubleshoot complex data issues and ensure accurate information downstream

Take ownership of projects from concept through production

Technical Skills Required

Cloud data warehouses Data engineering principles AI-assisted development tools

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Benefits & Perks

Fully remote work environment across Europe

High ownership role with autonomy

Opportunity to work with modern cloud technologies and AI-native development tools

Job Description

This role offers the opportunity to build and scale the core data infrastructure behind an AI-powered platform transforming a major global industry.You will own the architecture, pipelines, and systems that ensure data is accurate, reliable, and ready to power intelligent products.The position combines deep technical ownership with innovation, requiring both strong engineering fundamentals and an AI-native approach to development.You will work on complex data challenges involving multiple sources, large-scale processing, and modern cloud technologies.Your contributions will directly influence how businesses leverage data and AI to improve operational efficiency and decision-making.

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