Data Transformation Programme Manager

Derby

10 months ago

Applications closed

Related Jobs

View all jobs

BI Report Developer - Power BI / SQL / Crystal Reports / Tableau

Data Product Owner (SQL/NoSQL)

Data Engineer

Data Governance Lead

SAS Data Engineer

Lead Data Engineer

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

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

Industry Insights

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

Feb 10, 2026

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Jan 23, 2026

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.