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Jobs/SQL Jobs/Senior Data Engineer at VC-backed adtech AI startup

Senior Data Engineer at VC-backed adtech AI startup

Jack & Jill/External ATSRemote - London, London, United Kingdom2d ago
RemoteSeniorEMEACloud ComputingSenior Data EngineerRecruiterSQLdbtAWSPythonAirflow

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Requirements

  • 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.
  • Who are Jack & Jill?
  • Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
  • And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
  • Step 1. Visit our website https://jackandjill.ai/jack/job-listing?utm_source=job_listing&utm_medium=job_board&utm_campaign=9f1e6944-956b-482f-8fc7-0ea7c8f98208.
  • Step 2. Click 'Talk to Jack'.
  • Step 3. Talk to Jack so he can understand your experience and ambitions.
  • Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
  • Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
  • Step 6. If not, Jack will find you excellent alternatives. All for free.
  • We never post fake jobs
  • Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Responsibilities

  • 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.

Benefits

  • 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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