Lead Data Engineer

Atarus; London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

Atarus is seeking a Lead Data Engineer to develop a new real-time data platform. This hands-on role involves building an efficient data infrastructure and working closely with cross-functional teams to ensure accurate data processing. The position offers opportunities for significant strategic impact and collaboration across various business functions.

Benefits

Competitive base salary + quarterly bonus

Hybrid working

Regular team socials and lunch clubs

Ongoing investment in training and development

Opportunity to shape a new function

Qualifications

• Deep understanding of data streaming tools and frameworks.
• Proficiency in programming languages related to data engineering.
• Cloud experience, ideally with AWS, GCP, or Azure.

Responsibilities

• Architect and build real-time data infrastructure.
• Ensure seamless data flow and data integrity.
• Develop and maintain data models for real-time querying.

Skills

Python

Java

Scala

Kafka

Flink

Spark Streaming

AWS

GCP

Azure

Airflow

Kubernetes

Job description

Direct message the job poster from Atarus

We're working with a high-growth digital business that’s investing heavily in its internal engineering and data function. As they continue scaling their operations across multiple markets, they’re looking to bring on an experienced Lead Data Engineer to help shape a brand-new, real-time data platform.

About the Role

This is a hands-on individual contributor role with significant strategic impact. You’ll be responsible for architecting, building, and optimising real-time data infrastructure, collaborating closely with engineering, product, and analytics teams to ensure seamless data flow across the organisation.

You’ll own the full data lifecycle—from ingestion to transformation and delivery—leveraging modern cloud and streaming technologies.

• Design and build scalable, low-latency real-time data pipelines
• Integrate diverse data sources and ensure data accuracy and integrity
• Develop and maintain data models optimised for real-time querying
• Build fault-tolerant ingestion processes and ensure high availability
• Implement logging, monitoring, and alerting for infrastructure health
• Partner with cross-functional teams to deliver robust data solutions

What You’ll Bring

• Deep understanding of tools like Kafka, Flink, Spark Streaming, etc.
• Proficiency in Python, Java, or Scala
• Cloud experience with AWS, GCP, or Azure
• Familiarity with orchestration tools like Airflow, Kubernetes
• Collaborative, solutions-focused mindset and a willingness to lead from the front

What’s on Offer

• Competitive base salary + quarterly bonus
• Hybrid working with a central London HQ
• Regular team socials, lunch clubs, and international company offsites
• Ongoing investment in training and development
• Opportunity to shape a new function and work on greenfield tech

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Media

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