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idpp

Senior Data Architect

Basingstoke
£100k – £150k/yr
Posted about 18 hours ago
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Principal Data & AI Engineer

Permanent

Hybrid - Winchester/Baskingstoke

Must hold active SC clearance

About the Role

We're partnering with an innovative UK technology company developing a next-generation AI platform for critical defence and healthcare applications. As they continue to scale, they're looking for a Principal Data & AI Engineer to provide technical leadership across the design, architecture, and delivery of enterprise-grade AI and data platforms.

This is a rare opportunity to take ownership of the data and AI engineering function within a rapidly growing business, shaping the technical direction of products that solve complex, real-world problems. You'll work alongside AI researchers, software engineers, and product teams to build highly secure, scalable data platforms that power advanced AI capabilities in mission-critical environments.

If you're passionate about modern data engineering, large-scale AI systems, and influencing technical strategy while remaining hands-on, this role offers genuine autonomy and long-term career progression.

What You'll Be Doing

  • Lead the architecture and development of scalable AI and data platforms supporting advanced machine learning and LLM workloads.
  • Design and build high-performance data pipelines capable of processing structured and unstructured data from multiple secure sources.
  • Architect robust data ingestion, transformation and orchestration frameworks using modern cloud-native tooling.
  • Build and optimise Retrieval-Augmented Generation (RAG) pipelines and enterprise knowledge retrieval platforms.
  • Develop and optimise vector search capabilities using technologies such as Weaviate, Pinecone, Milvus or Elasticsearch.
  • Engineer highly available APIs and backend services using Python (FastAPI/Flask) and modern software engineering practices.
  • Design secure, containerised platforms using Docker and Kubernetes for deployment into restricted environments.
  • Drive best practice around data modelling, governance, observability, testing and platform reliability.
  • Mentor and provide technical leadership to engineers across the wider software and AI teams.
  • Work closely with stakeholders to translate complex business challenges into scalable technical solutions.

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It searches the market for you

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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.

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Strong

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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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What We're Looking For

  • Significant commercial experience as a Senior, Lead or Principal Data Engineer, AI Engineer or Platform Engineer.
  • Proven experience designing and delivering large-scale production data platforms.
  • Strong expertise in Python and SQL, alongside modern software engineering principles.
  • Deep understanding of distributed data processing and orchestration technologies (e.g. Spark, Kafka, Airflow, Dagster or similar).
  • Experience building AI-enabled platforms using Large Language Models (LLMs), embeddings, vector databases and RAG architectures.
  • Hands-on experience with vector databases such as Pinecone, Weaviate, Milvus or Elasticsearch.
  • Strong understanding of cloud-native architecture, Docker and Kubernetes.
  • Experience designing resilient microservice architectures and RESTful APIs.
  • Knowledge of data governance, security, metadata management and production data operations.
  • Comfortable leading technical direction, mentoring engineers and influencing architecture decisions.
  • Excellent communication skills with the ability to engage technical and non-technical stakeholders.
  • Degree in Computer Science, Software Engineering, Data Engineering or a related discipline (or equivalent commercial experience).

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Desirable Experience

  • Experience deploying AI platforms into secure or highly regulated environments.
  • Knowledge of MLOps tooling and model lifecycle management.
  • Experience with Azure, AWS or private cloud infrastructure.
  • Familiarity with Infrastructure as Code (Terraform, Helm, Ansible or similar).
  • Experience within Defence, National Security, Healthcare, Government or other regulated industries.
  • Exposure to knowledge graphs, semantic search or graph databases.
  • Experience leading technical strategy within a fast-growing technology business.

Security Requirements

Due to the nature of the work, applicants must hold active SC Security Clearance

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Skills

Python
SQL
Data Architecture
Large Language Models
RAG Pipelines
Vector Databases
Docker
Kubernetes
Spark
Kafka
Airflow
FastAPI
Microservices
Data Governance
SC Clearance
Technical Leadership

Location

Basingstoke, England, United Kingdom

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