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- Tasks: Lead the design and operationalisation of data integration and analytics platforms.
- Company: Join a dynamic team focused on innovative marketing analytics solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 10-15 years in data engineering and strong cloud platform experience required.
- Other info: Collaborative culture with a focus on continuous learning and development.
The predicted salary is between 48000 - 84000 £ per year.
Responsible for the full lifecycle of enterprise-scale data integration and analytics platform activation on Microsoft Fabric within a large, complex marketing analytics environment. This role designs, builds, and operationalizes robust data pipelines, transformations, and data models and manages controlled, production-grade releases to ensure platform stability, scalability, and trusted analytics consumption.
Key Responsibilities
- Design, govern, and operationalize Fabric pipelines, PySpark transformations, and Lakehouse-based Medallion architecture.
- Translate business requirements and approved data roadmaps into executable technical designs, sprint backlogs, and production-grade delivery plans.
- Own platform performance, reliability, and scalability through proactive monitoring, Spark performance tuning, and workload optimization.
- Act as the technical coordination point across business, governance, IT, and analytics engineering teams to deliver certified, production-ready analytical datasets.
- Oversee release engineering including Dev–Test–Prod promotion, production cutovers, rollback strategies, and post-release stabilization of pipelines and models.
- Provide technical leadership through architecture reviews, code governance, reusable framework development, and long-term scalability planning for the platform.
Required Skills
- Minimum 10–15 years in data engineering, analytics delivery, or large-scale data platform execution roles.
- Strong experience with cloud data platforms (Microsoft Fabric), large-scale ingestion.
Technical Delivery Lead employer: Visionet Systems Inc.
Contact Detail:
Visionet Systems Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Delivery Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Technical Delivery Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipelines and analytics platforms. We want to see how you’ve tackled challenges and delivered results in similar environments.
✨Tip Number 3
Prepare for the interview like it’s the final sprint! Brush up on your technical knowledge around Microsoft Fabric and data engineering principles. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Technical Delivery Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Technical Delivery Lead role. Highlight your experience with data integration, analytics platforms, and any relevant projects you've worked on that align with the job description.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in Microsoft Fabric, data pipelines, and performance tuning. We want to see how you’ve made an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about this role and how your background makes you the perfect fit. Be sure to mention your experience with large-scale data platforms and your approach to technical leadership.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Visionet Systems Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and the specific technologies mentioned in the job description. Brush up on your knowledge of PySpark transformations and Lakehouse architecture, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you’ve designed and operationalised data pipelines. Be ready to explain how you tackled challenges related to performance tuning and workload optimisation, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with the marketing analytics environment and how data integration impacts business decisions. Being able to translate technical jargon into business value will impress the interviewers and show that you can bridge the gap between tech and business.
✨Prepare for Technical Leadership Questions
Since this role involves providing technical leadership, be prepared to discuss your approach to code governance and architecture reviews. Think of examples where you’ve led teams or projects, and how you ensured scalability and reliability in your solutions.
