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Cyber Data Engineer

hybridGlasgow, GBScore 57.5/100today
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📊 Data Engineering: salaries and demand on the market
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ansibleecselasticsearchgithublinuxpython
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Description
About The Role FDM is a global business and technology consultancy seeking a Cyber Data Engineer to work for our client within the Financial Services sector. This is initially a 6-12 month contract with the potential to extend and will be a hybrid role that will be based in Glasgow. Our client is seeking a Cyber Data Engineer to join its globally distributed security analytics team. The team is responsible for developing and supporting platforms used by cyber functions including security response, investigations and insider-threat teams. A key focus of the position will be supporting the migration of the firm’s cyber data lake from Splunk to CyberELK, an Elasticsearch-based security analytics platform. This role would suit an engineer with a strong grounding in Python, infrastructure automation, Linux and data pipelines who is interested in developing deeper expertise in Elasticsearch and cybersecurity engineering. Responsibilities A successful applicant will contribute to several important initiatives including: Developing automation tools that integrate with in-house developed configuration management frameworks and APIs, including our AI-assisted onboarding tooling Onboarding data sources into CyberELK with appropriate field extractions and Elastic Common Schema (ECS) mapping Tuning and optimising Elasticsearch cluster performance, including sharding, index lifecycle management (ILM) and ingest pipelines Providing consultancy to internal clients and stakeholders Working as
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