At a Glance
- Tasks: Engage with customers, design solutions, and implement observability systems.
- Company: GIOS Technology, a leading Data Services and Technology Consultancy.
- Benefits: Structured training, mentoring, and clear career progression opportunities.
- Other info: Active SC Clearance is necessary for this role.
- Why this job: Join a dynamic team and work on impactful enterprise-scale projects.
- Qualifications: Experience in observability platforms and strong consulting skills required.
The predicted salary is between 70000 - 90000 £ per year.
About GIOS Technology
GIOS Technology is a specialist Data Services and Technology Consultancy focused on Search, Observability, Security, Data Engineering and AI-driven platforms. We work alongside leading technology vendors to deliver consulting, architecture, implementation and managed services across large-scale transformation programmes within both commercial and public sector environments.
As part of our continued growth, we are expanding our Observability and Platform Engineering practice and are seeking SC Cleared Observability Consultants/Senior Observability Engineers to support a portfolio of long-term customer programmes.
Role Overview
This role combines customer engagement, solution design and hands‑on implementation. We are looking for experienced consultants, senior engineers and aspiring architects who enjoy working directly with customers to understand requirements, design solutions and deliver successful outcomes. Candidates may come from Elastic, Splunk, Datadog, Dynatrace, New Relic, Grafana, Prometheus, OpenTelemetry or similar observability and monitoring backgrounds.
Building Long-Term Elastic Consulting Capability
As part of our strategic growth plans, GIOS Technology is investing in further developing our specialist consulting practice aligned to Elastic across Observability, Security, Search and AI-driven solutions. We recognise that many of the strongest consultants and engineers in the market have built their expertise using other leading technologies. We are therefore particularly interested in individuals with strong consulting, design and implementation skills, regardless of their current platform specialisation. Successful candidates will be supported through structured enablement, mentoring and certification pathways to develop specialist expertise within the Elastic ecosystem whilst working on major public sector and enterprise programmes over the coming years.
Key Responsibilities
- Participate in customer workshops and technical discovery sessions
- Gather business and technical requirements
- Support solution sizing, architecture and implementation planning
- Design telemetry onboarding approaches across infrastructure, cloud and applications
- Build and configure ingestion pipelines for logs, metrics and traces
- Develop dashboards, visualisations and operational monitoring use cases
- Build MVPs, proof-of-value solutions and production implementations
- Troubleshoot telemetry, ingestion and visibility challenges
- Produce technical documentation, runbooks and implementation guides
- Deliver customer training, enablement and knowledge transfer sessions
- Work closely with customer stakeholders, architects and engineering teams
Skills & Experience
Experience in some of the following areas:
- Observability or Monitoring Platforms
- OpenTelemetry and telemetry collection
- Infrastructure, Cloud or Platform Engineering
- DevOps or Site Reliability Engineering
- Data onboarding and ingestion pipelines
- Linux and Windows environments
- Bash, Python or PowerShell scripting
- Customer-facing consulting or technical advisory experience
Experience designing and delivering enterprise solutions is more important than prior Elastic experience.
What You'll Gain
- Exposure to enterprise-scale observability programmes
- Structured Elastic enablement and certification pathways
- Mentoring from experienced Consulting Architects
- Hands‑on delivery across major public sector and enterprise projects
- Opportunity to develop specialist expertise within the Elastic ecosystem
- Clear progression path towards Consulting Architect roles
Clearance Requirement
Active SC Clearance
Senior Observability Data Engineer employer: GIOS Technology Limited
GIOS Technology is an exceptional employer that prioritises employee growth and development, offering structured enablement and certification pathways within the Elastic ecosystem. Our collaborative work culture fosters innovation and engagement, allowing you to work on impactful public sector and enterprise projects while receiving mentorship from experienced Consulting Architects. Join us in a dynamic environment where your contributions directly influence long-term customer programmes and your career progression is supported through clear pathways towards Consulting Architect roles.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Observability Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like GIOS Technology Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Observability Data Engineer at GIOS Technology Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like GIOS Technology Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Observability Data Engineer at GIOS Technology Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Observability Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at GIOS Technology Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at GIOS Technology Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at GIOS Technology Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at GIOS Technology Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
