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

Nominate & Attend

Business Data Architect – Keying and Linking

Coface
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Enterprise Data Architect (Basé à London)

Lead Enterprise Data Architect (Basé à London)

Data Quality Lead

Data Quality Lead (Basé à London)

Data Analyst

Data Quality Lead (Basé à London)

About Us

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Job Description

We are seeking an experiencedBusiness Data Architect – Keying and Linkingto lead the design, development, and optimization of keying and linking processes that support enterprise-wide data integration, master data management (MDM), and identity resolution. You will be responsible for creating data architecture strategies that enable the accurate identification, deduplication, and unification of data entities across complex systems and business domains.

Qualifications

Key Responsibilities:

  • Design and implementkeying and linking architecturesto enable accurate entity resolution and data deduplication across diverse data sources.
  • Define and maintaindata matching rules, and record linkage strategies in support of Multi-sourcing and product 360 initiatives.
  • Collaborate with business stakeholders togather requirementsand translate them into technical design for data integration and unification.
  • Developingdata profiling, data quality assessment, and cleansing activities to support accurate keying and linking.
  • Partner with IT and business teams to ensuregovernance and stewardshippolicies are upheld across data platforms.
  • Develop and maintainmetadata and data lineagefor all keying and linking components.
  • Evaluate and recommend tools and technologies forprobabilistic and deterministic matching(e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution).
  • Ensure solutions are scalable, performant, and align with enterprise architecture standards and privacy regulations.
  • Supportdata modeling effortsfor domains such as customer, product, and vendor.


Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
  • 7+ years of experience in data architecture, with at least 3 years focused onkeying/linking or MDM.
  • Strong understanding ofdata modeling,data integration, andidentity resolution techniques.
  • Hands-on experience withentity resolution tools(Informatica, IBM MDM, Reltio, etc.).
  • Proficiency in SQL and scripting for data profiling and transformation.
  • Familiarity withdata governance,privacy regulations(GDPR, CCPA), and data lineage.
  • Excellent communication skills with the ability to engage both technical and non-technical stakeholders.

Preferred:

  • Experience in cloud-based data ecosystems (AWS, Azure, GCP).
  • Familiarity with graph databases or fuzzy matching algorithms.

Experience in financial services, healthcare, retail, or other data-heavy industries

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.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.