At a Glance
- Tasks: Lead a data transformation programme using Azure technologies and manage a hybrid delivery team.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Competitive daily rate, flexible work environment, and opportunity for professional growth.
- Other info: Work in a collaborative environment with opportunities for career advancement.
- Why this job: Make a significant impact in data engineering while leading a dynamic team.
- Qualifications: Experience in Data Engineering, leadership skills, and knowledge of Azure tools.
The predicted salary is between 46800 - 65000 £ per year.
Start: ASAP
Duration: 9 months
Location: Huntingdon (2-days per week in office)
Rate: up to £650 per day
We are looking for an experienced Data Lead to drive a critical data transformation programme. This role offers the opportunity to lead a high-impact data workstream, working with modern Azure technologies and managing a hybrid onsite/offshore delivery team.
Key Responsibilities:
- Lead delivery of an in-flight data transformation workstream.
- Drive data readiness activities for testing, cutover, go-live, and operational support.
- Coordinate data across ERP, manufacturing, planning, and supply chain platforms.
- Oversee data quality, governance, validation, and migration activities.
- Lead an offshore analytics and engineering pod, ensuring successful delivery.
- Engage with business stakeholders, technology teams, and programme leadership.
- Manage risks, dependencies, and issue resolution across the data landscape.
- Support analytics and reporting capabilities using Azure and Power BI.
Required Skills & Experience:
- Strong experience delivering Data Engineering, Data Management, or Data Migration programmes.
- Proven leadership within large-scale transformation initiatives.
- Hands-on experience with Azure Data Lake, ADF/Fabric, SQL, and Power BI.
- Experience working with ERP and manufacturing systems, including SAP S/4HANA and MES platforms.
- Strong understanding of data governance, quality, and lifecycle management.
- Experience managing onsite/offshore delivery teams.
- Excellent stakeholder management and programme delivery skills.
Desirable Skills:
- Food manufacturing, FMCG, or supply chain industry experience.
- Experience supporting cutover, go-live, or plant transformation programmes.
- Knowledge of modern analytics platforms and data lake architectures.
- Familiarity with Agile delivery models and data compliance requirements.
Data Engineer Lead (Azure) employer: Stott & May Professional Search Limited
Join a forward-thinking organisation in Huntingdon that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Engineer Lead will drive impactful data transformation initiatives. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to lead a hybrid team, all while enjoying the flexibility of a 2-day in-office schedule. This role not only promises competitive remuneration but also the satisfaction of contributing to critical projects within a supportive environment.
Contact Details:
Stott & May Professional Search Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Lead (Azure)
✨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 Stott & May Professional Search Limited 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.
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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 Stott & May Professional Search Limited.
✨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 Stott & May Professional Search Limited.
We think you need these skills to ace Data Engineer Lead (Azure)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stott & May Professional Search Limited, 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 Stott & May Professional Search Limited, 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 Stott & May Professional Search Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at Stott & May Professional Search Limited
✨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 Stott & May Professional Search Limited.
✨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 Stott & May Professional Search Limited.
✨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 Stott & May Professional Search Limited.
