National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

▷ (Immediate Start) Data Architect MDM...

Capgemini
Milton Keynes
23 hours ago
Create job alert

Job Description

Job Title: Data Architect MDM

Get The Future You Want!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role:

  • Working with customer’s system analyst for the understanding of business need and designing architectural model and database designs using Sparx EA or relevant tools.
  • Responsible for detailed solution designing with defined principles and standards of the project in line with customer’s business requirement.
  • Working on Data Management and end-to-end Data Architecture (extraction, ingestion, integration, transformation, virtualisation, visualisation, BI & analytics, MDM) and Data Governance (Lineage, Meta Data Management & Data Catalogs, Data Quality) activities.
  • Supervising other team members for any technical solution as and when needed as part of enhancement and production support.
  • At times responsible for programming from the requirement specification of the project using tools such as SAP Data Services, Informatica PowerCenter, Trifacta, Tableau SAP BO, Tableau, Power BI, Qlik Sense etc.
  • Discussion with customer’s stakeholder to review the existing business processes.
  • Participating in project knowledge transitions and ensuring smooth transition to offshore/support teams.
  • Discussion on key technical challenges and discussing the possible solutions to overcome the challenges.

    Your Profile:

  • Collaborated with system analysts to understand business needs and design architectural models and database structures using tools like Sparx EA.
  • Designed detailed solutions aligned with project standards and customer requirements, ensuring architectural consistency.
  • Led data architecture and management activities across the full data lifecycle, including governance aspects like metadata, lineage, and data quality.
  • Provided technical guidance to team members for enhancements and production support, ensuring high-quality deliverables.
  • Engaged in hands-on development using tools such as SAP Data Services, Informatica, Tableau, Power BI, and participated in stakeholder discussions and knowledge transitions.

    About Capgemini

    Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

    Get The Future You Want |www.capgemini.com

Related Jobs

View all jobs

▷ [3 Days Left] Principal Data Scientist...

▷ [3 Days Left] Senior Business Intelligence Developer...

▷ (3 Days Left) AWS Data Engineer...

▷ [Urgent Search] Quantitative Researcher at one of the most well-paid multi-strat Quant firms...

▷ Immediate Start: Data Engineer...

▷ [Urgent Search] Data Quality Analyst...

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.