MDM Manager

Reading
9 months ago
Applications closed

Related Jobs

View all jobs

Talend Data Engineer 24 Month FTC

Data Engineer

Data Engineer

Master Data Manager

£80,000 - £85,000 (+car allowance: £5,800, bonus, pension, private health care)

Mentmore are working with a leading household name to secure a Master Data Manager.

Acting as a senior expert in MDM content, processes, and procedures.
Overseeing the establishment of a golden master record for all data assets, ensuring a single source of truth.
Advocating for and implementing MDM best practices.
Developing and implementing the MDM strategy and framework.
Setting up MDM processes to support data governance and stewardship.
Leading the implementation of business rules, overseeing data governance activities, and managing MDM data mapping and ingestion, ensuring the system aligns with the organization's data strategy.
Ensuring the quality of data in the enterprise data platform, implementing data governance practices, data validation processes, and other measures to ensure data accuracy and consistency.
Maintaining data quality and uniformity across diverse systems.
Addressing and resolving issues related to conflicting data ownership, data and rule definition, and data availability.
Implementing business rules and data governance activities within the MDM system.

Team Management

Demonstrated expertise in leading a Master Data Management team, providing guidance and support, and ensuring the achievement of team objectives. This includes fostering a collaborative environment, mentoring team members, and driving continuous improvement in master data management practices.

Aligning with Business Objectives

Ensure MDM solutions support the organization's business objectives, working closely with the Head of Data Management and Governance and other stakeholders.
Leading Master Data Projects: Partner with IT and business stakeholders to lead complex, cross-functional master data projects.
Collaborating with IT and Business Teams: Work closely with IT teams to oversee the implementation of the data solution, and with business teams to understand their data needs.
Implementing MDM Program: Activate and enforce the master data management program vision, promote the role of MDM, ensure adoption, and monitor and manage data quality within the MDM program, working with data owners and stewards to address any issues

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 Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.