Data Transformation Programme Manager

CV-Library
Derby, Derbyshire
13 months ago
Applications closed

Related Jobs

View all jobs

Systems and Data Analyst

Acis Group Gainsborough, Lincolnshire, United Kingdom
£35,000 – £42,200 pa

Data Engineer - AWS | London Insurance

Opus Recruitment Solutions London, United Kingdom

Data Governance & Enablement Manager

Orbit Group Binley Woods, United Kingdom

Integration Expert/Lead

Mentmore Recruitment Ipswich, Suffolk, United Kingdom
£90,000 – £100,000 pa

Data Architect - Azure Migration

Adecco Birmingham, West Midlands (county), United Kingdom
£650 – £750 pd Hybrid

Senior Data Engineer

Experis London, United Kingdom
Hybrid
Posted
15 Apr 2025 (13 months ago)

Data Transformation Programme Manager

Hybrid working - Location: Derby (2-3 days onsite per week)

Salary: £45,000 - £55,000 per annum

About the role

We’re working with a client currently undertaking a large-scale IT transformation, moving from on-premises ERP systems (SAP-based) to a modern Azure cloud ERP environment.

To support this journey, they are looking for a Project Manager to lead and manage the change, make sure they do not loose sight of any data.

What Will You Do?

  • Interview Data owners to understand and specify what data is important in existing systems.

  • Map and define existing data across a multiple systems and applications.

  • Support the data migration process from legacy systems to Azure-based ERP, ensuring accuracy, integrity, and compliance throughout.

  • Identify potential migration issues early, and work with stakeholders to mitigate risk.

  • Oversee ETL activity, ensuring data is properly extracted, transformed, and loaded into the new environment (not hands-on but overseeing/understanding this process).

  • Visualise and model data flows using tools like Visio, PowerPoint, and Excel to provide clarity and structure.

    What You Need to Be Successful?

  • Proven experience managing data migration projects, ideally involving ERP systems and Azure environments.

  • Strong understanding of data mapping, and the challenges involved in system transitions.

  • Experience working with stakeholders across the business, especially data owners and technical teams.

  • Excellent documentation and communication skills — comfortable using Visio, PowerPoint, and Excel to create clear visuals and plans.

  • A good grasp of ETL processes and data lifecycle management

  • Background in ERP migrations (especially SAP to Azure) is highly desirable.

    If you're passionate about driving transformation and have a sharp eye for data, structure, and process — we want to hear from you

Industry Insights

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

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Engineering Jobs UK 2026: What to Expect Over the Next 3 Years

Data engineering has become one of the most strategically important disciplines in the entire technology sector — and one of the most reliably in-demand. Every organisation that wants to use data to make decisions, train AI models, personalise products, manage risk, or understand its customers depends on data engineers to build the infrastructure that makes any of that possible. Without well-designed, reliable data pipelines, the most sophisticated machine learning model is worthless and the most ambitious analytics strategy is undeliverable. That foundational importance has made data engineering hiring remarkably resilient through the technology market corrections of the past few years. Where headcount reductions fell heavily on some engineering disciplines, demand for data engineers held firm — because the work of building and maintaining data infrastructure cannot be deferred in the way that some product development can. The data keeps coming. The pipelines need to work. But the data engineering jobs market of 2026 is not simply a stable version of what it was three years ago. The discipline has undergone a series of architectural shifts — from batch to streaming, from on-premise data warehouses to cloud-native lakehouses, from hand-rolled pipelines to declarative transformation frameworks, and most recently toward AI-augmented data engineering workflows that are beginning to reshape what the role looks like in practice. The employers hiring data engineers today are asking for a meaningfully different skill set than those hiring three years ago. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which architectural patterns are becoming standard, which technologies are defining the modern data stack, and how the definition of a data engineering career is evolving toward a richer intersection of infrastructure, analytics, and AI enablement. This article breaks down what the UK data engineering jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.