Data Engineer

GIOS Technology; United Kingdom; On-site; GBP 70,000 - 100,000; Full time

Job summary

GIOS Technology is hiring a Senior Elastic Data Engineer to onboard raw logs into Elastic Security / SIEM. You will design parsing pipelines, map data to Elastic Common Schema (ECS), and manage end-to-end data onboarding from discovery to validation.

The role requires hands-on experience with Logstash, Elasticsearch, and ECS, handling diverse log formats, and delivering scalable data pipelines across UK locations.

Qualifications

• Hands-on data onboarding of logs into Elastic Security / SIEM.
• Experience parsing unstructured, semi-structured and structured logs.
• Proven ability to build parsing/transformation logic and map to ECS.

Skills

Data onboarding

Log parsing

Security data handling

Elastic ECS awareness

Tools

Logstash

Elasticsearch

Kibana

Job description

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

What’s particularly important

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.

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