Data Engineer at well-funded AI cybersecurity startup

Jack & Jill; Remote; GBP 60,000 - 80,000; Full time

Job summary

A well-funded AI cybersecurity startup in the UK is seeking a Data Engineer to build production-grade data pipelines and architect data lake infrastructure. The role requires strong software engineering skills and experience with data ingestion systems. The ideal candidate will work with cutting-edge technologies like Apache Iceberg and have hands-on experience with Python and Apache Kafka. This position offers a full-time opportunity in a dynamic, innovative environment.

Qualifications

• 7+ years of software engineering experience with at least 4+ years focused specifically on data engineering.
• Proven track record building and scaling data ingestion systems handling gigabytes to terabytes daily.
• Deep, hands-on production experience with Python, Apache Kafka, and Apache Spark.

Responsibilities

• Design, implement, and maintain scalable data pipelines that ingest security data daily.
• Architect and evolve S3-based data lake infrastructure using Apache Iceberg.
• Take end-to-end ownership of the complete data lifecycle.

Skills

Data pipeline engineering

Software engineering

Experience with Python

Apache Kafka

Apache Spark

Tools

Apache Iceberg

Job description

Data Engineer

Join to apply for the Data Engineer at well‑funded AI cybersecurity startup role at Jack & Jill

Company Description: Well‑funded AI cybersecurity startup

Location: Remote

Job Description: As a Backend Engineer (Data Engineering), you'll architect and build production‑grade data pipelines for a well‑funded AI cybersecurity startup. This role involves designing and implementing data lake architecture, streaming pipelines, and transformation systems to process massive volumes of security data.

You'll own the entire data lifecycle, ensuring reliability and performance to power AI agents protecting customer environments.

Why this role is remarkable

• Ambitious data challenges at the intersection of generative AI and cybersecurity, building systems for proactive threat detection.
• Join a well‑funded startup backed by top‑tier VCs, with a team of experienced leaders from Big Tech and Scale‑ups.
• Opportunity to build an AI‑native company from the ground up, architecting the data foundation using cutting‑edge technologies like Apache Iceberg.

What you will do

• Design, implement, and maintain scalable data pipelines that ingest gigabytes to terabytes of security data daily, processing millions of records rapidly.
• Architect and evolve S3‑based data lake infrastructure using Apache Iceberg, creating distributed systems for efficient storage and transformations.
• Take end‑to‑end ownership of the complete data lifecycle, from Kafka ingestion to Spark/EMR transformations, enabling AI‑powered analysis.

The ideal candidate

• 7+ years of software engineering experience with at least 4+ years focused specifically on data engineering, demonstrating strong software engineering skills.
• Proven track record building and scaling data ingestion systems handling gigabytes to terabytes daily, with experience at companies moving massive data volumes.
• Deep, hands‑on production experience with Python, Apache Kafka, and Apache Spark, using these technologies intimately.

How to Apply

To apply for this job speak to Jack, our AI recruiter.

Step 1. Visit our website
Step 2. Click 'Speak with Jack'
Step 3. Login with your LinkedIn profile
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions
Step 5. If the hiring manager would like to meet you, Jack will make the introduction

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Technology, Information and Internet