At a Glance
- Tasks: Engage with customers, design solutions, and implement cutting-edge data strategies.
- Company: GIOS Technology, a leader in Data Services and AI-driven platforms.
- Benefits: Structured mentoring, certification pathways, and exposure to enterprise-scale projects.
- Other info: Clear progression path towards Consulting Architect roles.
- Why this job: Join a dynamic team and shape the future of Search and AI technology.
- Qualifications: Experience in data engineering, search platforms, and customer engagement.
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 Search, Data and AI practice and are seeking DV or eDV Cleared Senior Enterprise Search & Data Consultant / Engineer 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 a variety of Search, Data Engineering, Integration, Analytics, Platform Engineering and AI solution 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 Search, Security, Observability 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 discovery sessions.
- Gather business and technical requirements.
- Support solution sizing, architecture, and implementation planning.
- Design data onboarding, indexing, and search strategies.
- Design and build data ingestion, transformation, and enrichment pipelines.
- Support enterprise search, knowledge management, and information retrieval initiatives.
- Develop search, analytics, AI, and business‑focused use cases.
- Build MVPs, proof‑of‑value solutions, and production implementations.
- Support semantic search, vector search, and AI‑enabled retrieval capabilities.
- Troubleshoot data quality, indexing, search, and ingestion challenges.
- Produce technical documentation, architecture artefacts, 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:
- Enterprise Search Platforms
- Data Engineering and Data Integration
- Knowledge Management or Information Retrieval Solutions
- Search, Analytics or AI Platforms
Candidates may come from Elastic, OpenSearch, Solr, Splunk, Kafka, Cribl, Databricks, Snowflake, Cloudera, Google Cloud, AWS, Azure, or similar technology backgrounds.
- Data onboarding, transformation, and ingestion pipelines
- APIs and system integrations
- SQL and NoSQL platforms
- Linux, Cloud or Platform Engineering
- Bash, Python or PowerShell scripting
- Metadata, indexing, and search concepts
- AI, GenAI, Semantic Search or RAG exposure
- 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 Search, Data and AI transformation programmes
- Structured Elastic enablement and certification pathways
- Mentoring from experienced Search and Consulting Architects
- Hands‑on delivery across major public sector and enterprise projects
- Opportunity to develop specialist expertise within the Elastic ecosystem
- Exposure to Enterprise Search, Vector Search, GenAI and RAG solutions
- Clear progression path towards Consulting Architect roles
Clearance Requirement
Active Enhanced DV or eDV Clearance.
Senior Data Engineer (Search & AI) employer: GIOS Technology Limited
GIOS Technology is an exceptional employer that prioritises employee growth and development within a dynamic work culture. As a Senior Data Engineer, you will benefit from structured enablement and mentoring while working on impactful public sector and enterprise projects, allowing you to enhance your expertise in the Elastic ecosystem. With a focus on collaboration and innovation, GIOS Technology offers a unique opportunity to engage directly with customers and contribute to transformative data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Search & AI)
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We think you need these skills to ace Senior Data Engineer (Search & AI)
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.
