At a Glance
- Tasks: Lead a major data transformation programme in a global manufacturing environment.
- Company: Join a dynamic global manufacturing company with a focus on innovation.
- Benefits: Competitive day rate and hybrid working model for flexibility.
- Other info: Opportunity to work with cutting-edge technologies like Azure and Power BI.
- Why this job: Make a significant impact on data readiness and analytics solutions.
- Qualifications: Experience in Data Engineering and leading large-scale transformation initiatives.
Location: Huntingdon, UK (Hybrid – 2 days onsite)
Contract: 9 Months
An exciting opportunity for an experienced Data Lead to drive a major data transformation programme within a global manufacturing and supply chain environment. You will lead a critical data workstream, ensuring data readiness across enterprise platforms while managing a hybrid onsite-offshore delivery model.
Key Responsibilities
- Lead delivery of an existing data transformation workstream
- Define and execute data readiness activities for testing, cutover, and go-live
- Coordinate data collection, cleansing, validation, and governance across multiple systems
- Ensure consistency across SAP S/4HANA, MES, planning, and supply chain platforms
- Drive analytics and reporting solutions using Azure and Power BI technologies
- Manage data quality, risks, dependencies, and stakeholder engagement
- Lead and coordinate an offshore team of technical specialists and analysts
Required Experience
- Strong background in Data Engineering, Data Management, or Data Migration programmes
- Experience leading data workstreams within large-scale transformation initiatives
- Hands-on expertise with Azure Data Lake, ADF/Fabric, SQL, and Power BI
- Exposure to SAP S/4HANA and manufacturing or supply chain environments
- Strong stakeholder management and programme delivery skills
- Experience working within onsite-offshore delivery models
Desirable
- Food manufacturing, CPG, or supply chain sector experience
- Data governance and GDPR knowledge
- Experience with modern analytics platforms and Agile delivery models
Excellent day rate available. For more information and direct contact with me, please send me an email and call only if required. I will be sure to check responses daily and shortlist the best candidates; if you are shortlisted, you will hear from me.
Data Lead in Cambridge employer: Gazelle Global
Join a forward-thinking global manufacturing leader in Huntingdon, where as a Data Lead, you will play a pivotal role in a transformative data programme. Our hybrid work culture promotes flexibility and collaboration, offering excellent opportunities for professional growth while working with cutting-edge technologies like Azure and Power BI. With a commitment to employee development and a supportive environment, we ensure that your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Lead 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 Gazelle Global 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 Gazelle Global.
✨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 Gazelle Global.
We think you need these skills to ace Data Lead in Cambridge
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Gazelle Global, 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 Gazelle Global, 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 Gazelle Global’s attention and show the tangible impact of your work.
How to prepare for a job interview at Gazelle Global
✨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 Gazelle Global.
✨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 Gazelle Global.
✨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 Gazelle Global.
