Cyber Analytics Data Engineer - Cloud, Spark & Security

Cyber Analytics Data Engineer - Cloud, Spark & Security

Full-Time No working from home possible
Sivara GmbH

At a Glance

  • Tasks: Deliver advanced analytics solutions in a cybersecurity environment using Python and Databricks.
  • Company: Join Sivara GmbH, a specialist team in Manchester focused on cyber analytics.
  • Benefits: Hybrid work arrangement and competitive day rate of £500-£560.
  • Other info: Initial 6-month contract with opportunities for growth in a dynamic field.
  • Why this job: Make a real impact in cybersecurity while supporting junior team members.
  • Qualifications: Strong expertise in Python, Databricks, and experience with cloud platforms.

Sivara GmbH is seeking a Cyber Analytics Data Engineer to join their specialist team in Manchester. This role involves delivering advanced analytics solutions within a cybersecurity environment. The ideal candidate will have strong Python and Databricks expertise, and experience with cloud platforms. The position offers a hybrid work arrangement as well as an initial 6-month contract with a day rate of £500-£560 inside IR35.

Responsibilities include:

  • Supporting junior team members
  • Engaging with various cyber functions

Cyber Analytics Data Engineer - Cloud, Spark & Security employer: Sivara GmbH

Sivara GmbH is an excellent employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of cybersecurity. With a focus on employee growth, the company offers opportunities for professional development and mentorship, making it an ideal place for those looking to advance their careers. The hybrid work arrangement in Manchester provides flexibility, allowing employees to balance their professional and personal lives effectively.

Sivara GmbH

Contact Details:

Sivara GmbH Recruitment Team

We think you need these skills to ace Cyber Analytics Data Engineer - Cloud, Spark & Security

Communication Skills
Python
Problem-Solving Skills
SQL
Automation
Attention to Detail
Data Quality Assurance