At a Glance
- Tasks: Lead data transformation projects using Azure and SAP technologies in a dynamic environment.
- Company: Join a global leader in digital transformation, empowering communities through technology.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative team culture with exciting challenges and career advancement opportunities.
- Why this job: Make a real impact by driving innovative data solutions for top brands.
- Qualifications: Experience in data management and strong leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
Position: Data Lead - Azure, SAP S/4HANA & Analytics
Employment Type: Contract
Start: ASAP (June/July 2026)
Duration: 9 Months
Location: Cambridgeshire, UK (Hybrid - 2 days per week office)
Language(s): English
Focus on SAP is a specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale.
Client – Partnered with a global leader in digital transformation and IT services, working with some of the world’s biggest brands. Their mission is not only to deliver cutting-edge technology but also to empower organisations to create meaningful impact for the people and communities they serve. For you, this means working on challenging projects that demand innovation, collaboration, and thought leadership.
Role – We are seeking an experienced Data Lead to drive a business-critical data transformation programme within a complex manufacturing and supply chain environment. This is a leadership role responsible for delivering data readiness across multiple enterprise platforms, ensuring high-quality, consistent, and trusted data to support testing, cutover, go-live, and operational readiness activities. You will lead a hybrid onsite-offshore delivery team, working closely with business stakeholders, programme leadership, and technology teams to accelerate data transformation outcomes while leveraging modern Azure-based analytics and data platform technologies.
Key Responsibilities:
- Data Transformation Leadership
- Lead and accelerate an existing enterprise data workstream.
- Define and drive the data readiness roadmap across testing, cutover, deployment, and operational activities.
- Act as the onsite lead for data delivery, coordinating with offshore resources and programme stakeholders.
- Manage risks, dependencies, issues, and escalations across the data landscape.
- Data Management & Governance
- Identify, manage, and govern data across:
- Master Data
- Transactional Data
- Operational Data
- Supply Chain Data
- Drive data quality, completeness, consistency, and validation activities.
- Establish governance processes and controls to support successful programme delivery.
- Platform & Integration Management
- Ensure data consistency across enterprise systems including:
- SAP S/4HANA
- Manufacturing Execution Systems (MES)
- Planning and Supply Chain platforms
- Reporting and Analytics environments
- Support integration and data harmonisation across multiple business domains.
- Azure Data & Analytics
- Drive adoption and optimisation of:
- Azure Data Lake
- Azure Data Factory
- Microsoft Fabric
- SQL
- Power BI
- Support development of scalable analytics, reporting, and data lake solutions.
- Enable business insights through modern cloud-based data platforms.
- Stakeholder & Team Leadership
- Collaborate with stakeholders across:
- Finance
- Manufacturing Operations
- Supply Chain
- Technology Teams
- Lead and govern offshore delivery teams including technical leads, developers, and business analysts.
- Engage with programme leadership, vendors, and implementation partners to ensure successful outcomes.
Key Skills:
- Proven experience leading Data Management, Data Engineering, or Data Migration programmes.
- Strong track record delivering data workstreams within large transformation programmes.
- Hands-on experience with:
- Azure Data Lake (ADLS Gen2)
- Azure Data Factory (ADF)
- Microsoft Fabric
- SQL
- Power BI
- Experience working with:
- SAP S/4HANA
- Manufacturing systems
- Planning and Supply Chain platforms
- Strong understanding of:
- Data Quality
- Data Governance
- Data Lifecycle Management
- Master and Transactional Data
- Experience managing onsite-offshore delivery models.
- Excellent stakeholder management, leadership, and communication skills.
- Strong programme execution, problem-solving, and escalation management capabilities.
If you are interested or would like to know more, please email with your CV and availability to speak.
Applicants must be a UK resident and hold a valid right to work status.
Data Lead - Azure, SAP S/4HANA & Analytics in Cambridge employer: Focus on SAP
Join a forward-thinking organisation that prioritises innovation and collaboration, offering you the chance to lead transformative data initiatives in a dynamic hybrid work environment in Cambridgeshire. With a strong commitment to employee growth, you will have access to cutting-edge technologies and the opportunity to work alongside industry leaders, ensuring your contributions make a meaningful impact on global brands and communities. Enjoy a supportive work culture that values your expertise and fosters professional development through challenging projects and collaborative teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead - Azure, SAP S/4HANA & Analytics in Cambridge
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Focus on SAP before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Focus on SAP.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Focus on SAP.
We think you need these skills to ace Data Lead - Azure, SAP S/4HANA & Analytics in Cambridge
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Focus on SAP, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Focus on SAP, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Focus on SAP’s attention and show the tangible impact of your work.
How to prepare for a job interview at Focus on SAP
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Focus on SAP.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Focus on SAP.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Focus on SAP.
