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Crystal Horizon IT Consulting

Data Engineering Lead (mAI – Data Foundation Core)

London
Posted 2 days ago
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Data Engineering Lead (mAI – Data Foundation Core)

Data Foundation Lead (Market Access AI) – Remote Contract (UK/Europe)


Company Description

Crystal Horizon IT Consulting partners with organizations to transform their IT operations into agile, transparent ecosystems that deliver measurable business outcomes. By combining deep industry expertise, practical implementation strategies and disciplined execution, we help drive sophisticated technology initiatives.

Through our strategic partnership with Leontra Technologies, a global leader in IT services, we leverange an expanded talent pool, cutting-edge capabilities in digital transformation, and the deployment of modern, data-driven platforms. Our collaborative approach enables us to deliver high-impact, long-term value across diverse industries for clients worldwide.


Location

Anywhere in the UK or Europe | Remote Contract Role


Experience

  • 12–15+ years across:
    • Data Engineering
    • Cloud Data Platforms
    • Data Architecture
    • Enterprise Data Solutions

Role Summary

You will lead the Data Foundation for Takeda’s Market Access AI platform, defining:

  • Scalable AWS-based data architecture
  • Enterprise-grade data pipelines
  • Governance frameworks
  • Reusable data services for core AI tools:
    • Insights Generator
    • Value Dossier
    • Pricing
    • OSS (Other Stakeholder Systems)
    • mAI Assistant

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.

Start with a chat, not a search bar

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.

P

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

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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.

This role significantly shapes Takeda’s ability to realize real-world AI outcomes with robust, well-governed data assets.


Key Responsibilities

  • Architecture & Technology Foundations

    • Lead the design and implementation of a structured and unstructured AWS-based data platform supporting AI/GenAI solutions.
    • Architect scalable data pipelines (ingestion, processing, storage).
    • Define data models, metadata, lineage frameworks, and data quality measures.
  • Governance & Reusability

    • Establish reusable data contracts and secure data access mechanisms across all enterprise AI products.
    • Implement enterprise-wide governance models to ensure data consistency, traceability, and compliance.
  • Cross-Functional Leadership

    • Collaborate with Takeda’s Enterprise Architecture, Data Engineering, AI, Security, and Product teams to align the Data Foundation roadmap with business needs.
    • Drive engineering standards, technical reviews, and backlog prioritization to enhance system capabilities.

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  • Team Mentorship & Delivery
    • Mentor distributed engineering teams to refine technical practices and deliver efficiency gains.
    • Use Terraform, GitHub, and CI/CD principles to ensure scalable, reproducible deployments.

Required Skills

  • AWS Proficiencies:

    • S3, Glue, Lambda, Athena, Redshift, EMR
    • Lake Formation, Step Functions, EventBridge
    • API Gateway, IAM
  • Technical Stack:

    • Python, PySpark, SQL
    • Apache Spark (preferred)
    • Kafka (highly preferred)
  • Data Lakehouse & Governance:

    • Deep expertise in Data Lake/Lakehouse architecture.
    • Data Governance, Metadata Management, Data Lineage.
  • AI/GenAI Expertise:

    • Experience with GenAI frameworks, RAG (Retrieval Augmented Generation), Vector Databases, Knowledge Graphs.
  • DevOps & Infrastructure:

    • Terraform for IaC, CI/CD pipelines.
  • Soft Skills:

    • Exceptional stakeholder alignment and technical communication abilities.

Ready to Make an Impact?

If this fully aligns with your goals and expertise, take action now.

📩 Submit your CV at: info@crystalhorizon.uk

or send it directly via the chat channel.

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Skills

AWS
Python
PySpark
SQL
Apache Spark
Kafka
Data Lake
Data Governance
Metadata
Lineage
Data Quality
GenAI
Vector Databases
Knowledge Graphs
Terraform
GitHub

Location

London, England, United Kingdom

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