Data Model Engineer

3 days ago


London, Greater London, United Kingdom ENGINEERINGUK Full time

We are looking for a highly skilled Data Model Engineer to join our team at ENGINEERINGUK. As a Senior Analytics Engineer, you will play a key role in designing and implementing data models that empower security teams to make informed decisions. With a strong background in big data, data modelling, and ETLs, you will be responsible for leading the implementation of data transformation and automated data quality frameworks.

The estimated salary for this position is £95,000 - £110,000 per annum, depending on experience. We offer a competitive benefits package, including an annual bonus scheme, holiday allowance, and private medical insurance.

In this role, you will collaborate closely with cross-functional security and data teams to ensure the security data is reliable, accurate, and accessible. You will contribute to the analytics platform architecture and mentor junior team members to deliver high-quality data products for cybersecurity.

About the Role:

  • Data Integration and Transformation: Lead the implementation of data transformation and automated data quality frameworks to move data across the raw, trusted, and curated layers of the data lake.
  • Data Modelling: Design, build and manage the logical and physical data model which are discoverable, accessible and reliable to support various threat detection, analysis and reporting capabilities.
  • Coding and Documentation: Contribute to raising the quality bar of the team's codebase by producing high-quality ETLs, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code.
  • Automation: Implement various automation practices to streamline the deployment, configuration, and management of data models, ETLs and data quality frameworks.
  • Collaboration and Communication: Collaborate with various security teams, effectively communicating data concepts and data product solutions to individuals with different levels of data expertise.

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