GIOS Technology
Data Engineer

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We are hiring for Elastic Data Engineer – SIEM / Data Onboarding
Location: Multiple locations across the United Kingdom (UK)
We are looking for a hands-on Senior Elastic Data Engineer with strong Data Engineering skills, particularly in onboarding raw, unstructured and semi-structured log data into Elastic Security / SIEM.
This is primarily a data onboarding and pipeline engineering role. We need someone who is comfortable taking an unfamiliar raw log source, understanding its structure, building the required parsing and transformation logic, mapping it to ECS, and taking the data feed through to production.
Key skills we’re looking for:
- Strong experience onboarding unstructured, semi-structured and structured logs from security, network, infrastructure and application platforms
- Hands-on development of Logstash pipelines for raw log ingestion and transformation
- Strong experience with Elasticsearch ingest pipelines
- Ability to parse complex and inconsistent log formats using Dissect, Grok, KV, JSON, CSV, scripting and native processors
- Experience handling syslog (RFC 3164 / RFC 5424) and multiple event formats within the same data source
- Strong understanding of Elastic Common Schema (ECS) and security data normalisation
- Experience designing data streams, mappings, component templates, index templates and ILM policies
- Hands-on experience with Elastic Agent, Fleet and integrations, including Custom Logs and Custom TCP/UDP
- Experience with Kafka → Logstash → Elasticsearch ingestion architectures
- Strong pipeline testing and troubleshooting skills, including malformed events, parsing failures and mapping conflicts
- Ability to own the complete data onboarding lifecycle — discovery, source-to-target mapping, development, testing, QA, deployment, validation and handover
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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We are looking for someone with genuine data engineering and log onboarding experience, not just Elastic administration, Kibana dashboarding or SIEM rule configuration.
You should be comfortable being given a raw/unfamiliar log sample and independently working out how to parse, normalise, enrich and onboard it into Elastic in a scalable and maintainable way.
Desirable certifications:
- Elastic Certified Engineer
- Elastic Certified Analyst
If you have strong Elastic + Data Engineering + raw log onboarding experience, we’d be interested in speaking with you.
#Hiring #Elastic #Elasticsearch #DataEngineering #SIEM #ElasticSecurity #Logstash #CyberSecurity #DataOnboarding #Kafka #ECS
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