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Job listing

United Kingdom preferred) / RemoteNot Disclosed

Senior Data Engineer at VC-backed adtech AI startup

Join a well-funded AI startup building the next generation of agentic advertising infrastructure. As a Senior Data Engineer, you'll design high-throughput streaming pipelines and lead the technical evolution of real-time decisioning systems that power revenue-critical workflows. This is a rare chance to work at the intersection of Big Data and Agentic AI with a path to leadership in an async-friendly, low-ego environment.

Overview

Role overview

You will build and operate high-throughput data foundations for agentic AI products, focusing on real-time decisioning and scalable event-driven systems. This role involves designing robust batch and streaming pipelines while collaborating with product and ML teams to shape technical strategy and evolve the infrastructure behind revenue-critical advertising decision engines.

Company

About the company

VC-backed adtech AI startup

Responsibilities

What you will do

  • Design and maintain high-volume batch and streaming pipelines using Kafka, SQS, and Spark for real-time AI workflows.
  • Develop scalable data models and transformation layers using dbt and lakehouse patterns to support ML and analytics.
  • Deploy and manage AWS data infrastructure using Terraform/CDK, ensuring high reliability, observability, and cost-effective performance.

Candidate profile

Who this is a fit for

  • Proven experience building production-grade streaming systems and handling complex event-driven data edge cases like backfills and idempotency.
  • Strong proficiency in Python, SQL, and modern data stack tools such as Airflow, dbt, and AWS data services.
  • Pragmatic mindset with the ability to bridge data engineering with AI/ML requirements, including feature generation and RAG-ready datasets.

What makes it remarkable

Why this role is remarkable

  • Opportunity to shape the data foundations of agentic AI systems that drive real-time, revenue-critical advertising decisions.
  • Join a well-funded, distributed team where you have significant autonomy to influence technical decisions and scale production infrastructure.
  • Potential to transition into a Tech Lead role while working with a modern stack including Spark, Kafka, and agentic coding tools.

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