Site Reliability Engineer | Splunk | SIEM

CV-Library
London
13 months ago
Applications closed

Related Jobs

View all jobs

Microsoft Fabric Data Engineer

Opus Recruitment Solutions Bristol, Bristol (county), United Kingdom
£450 – £550 pd

Test Engineer (SFIA 4) SC / Newcastle #0023

Peregrine Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£59,000 pa Hybrid Clearance Required

Test Engineer

Peregrine Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£1 pa Hybrid Clearance Required

Data Consultant

Ncounter Latchmere, London, TW10 5HW, United Kingdom
£80,000 – £85,000 pa

SRE - Site Reliability Engineer

Randstad Technologies Recruitment London, United Kingdom
£55 – £62 ph

Staff Software Engineer - Backend

Databricks London, United Kingdom
Posted
8 Apr 2025 (13 months ago)

Job Title: Site Reliability Engineer | Splunk | SIEM
Location: London (once or twice a month in the office - travel expenses will be compensated)
Salary/Rate: Up to £700 per day INSIDE IR35
Start Date: 21/04/2025
Job Type: Contract

Company Introduction
We have an exciting opportunity now available with one of our sector-leading social media clients! They are currently looking for a skilled to join their team for a three-month contract.

Job Responsibilities/Objectives
This role involved designing, implementing, and maintaining a robust security log migration pipeline from Splunk to a proprietary SIEM/SOAR platform.

Splunk Administration: Configure Splunk to ingest and process security logs from diverse network sources.
Data Pipeline Development: Architect and built data pipelines to migrate logs from Splunk to the in-house SIEM/SOAR platform.
Data Transformation: Develop Python scripts to normalize and flatten data originating from multiple sources, ensuring compatibility with the target SIEM/SOAR system.
Kafka Integration: Implement Kafka message queues to facilitate efficient and scalable data (log) migration between systems.
Technical Documentation: Create comprehensive documentation outlining the various components of the data migration pipeline, data flow processes, and system architecture.
Linux experience

If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.

Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.