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Staff Data Engineer, Cybersecurity

TN United Kingdom

London

Remote

GBP 60,000 - 100,000

Full time

Today
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Job summary

An established industry player is seeking a Staff Data Engineer to tackle complex data challenges within the cybersecurity domain. This role emphasizes the importance of building and optimizing data pipelines and architecture to support security functions effectively. Candidates should possess expertise in Apache Spark and Databricks, along with proficiency in Python or Scala. While prior cybersecurity experience is a plus, the company is willing to train technically strong candidates. If you're ready to contribute to innovative security solutions, this opportunity is for you.

Qualifications

  • Deep understanding of data pipelines and architecture.
  • Adept at handling various customer requirements and limitations.

Responsibilities

  • Build and optimize data pipelines and infrastructure.
  • Enhance security operations, detection, and response capabilities.

Skills

Apache Spark
Databricks
ETL processes
Python
Scala

Job description

Social network you want to login/join with:

Staff Data Engineer, Cybersecurity, London

Client:

Location: London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

ff7003301cda

Job Views:

6

Posted:

05.05.2025

Expiry Date:

19.06.2025

Job Description:

My client approaches security as a big data problem—do you share this ethos?

The role of data engineering in supporting cybersecurity functions has become significantly more critical. My client seeks a Staff Data Engineer with a deep understanding of data pipelines and architecture, adept at handling various customer requirements and limitations, ensuring effective data querying. The candidate should also be capable of building the necessary infrastructure and backend data pipelines to enhance security operations, detection, and response capabilities.

Key Qualifications:

  • Technical Skills: Expertise in Apache Spark, Databricks, and general ETL processes.
  • Programming: Proficiency in Python or Scala.
  • Data Architecture: Experience in building and optimizing data pipelines and infrastructure.

Preferred Experience:

  • Experience in personalization teams is advantageous but not essential.

Cybersecurity Experience:

  • While prior security experience is not mandatory, it is a plus. The client is prepared to train technically strong data engineers in cybersecurity.
  • Location: Fully remote from any U.S. state
  • Visa Sponsorship: Not available for this role

If you possess the technical qualifications and are ready to tackle complex data challenges in a cybersecurity context, we encourage you to apply.

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