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- Tasks: Lead a team to build next-gen digital data capabilities and integrate new datasets.
- Company: Join VodafoneThree, a leader in digital innovation and analytics.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work in a collaborative culture with a focus on diversity and inclusion.
- Why this job: Make an impact by shaping the future of data analytics in a dynamic environment.
- Qualifications: Experience in data engineering, SQL, Python, and leading teams.
The predicted salary is between 70000 - 90000 ÂŁ per year.
The Digital Data Manager (Future Insights) plays a critical role in building a world‑class digital data foundation. Accountable for a designated domain (brand, platform, capability area or journey) and oversee a team of Data Specialists responsible for enabling accurate, consistent, scalable and future‑ready digital data across all analytics, insight, and optimisation platforms.
Lead and develop a multidisciplinary team of data engineers, analytics engineers and data science to build the organization’s next generation of digital analytical capabilities. Prioritise and manage the onboarding of new datasets based on strategic value, ensuring they enable advanced analytics, predictive insights, and AI‑driven solutions. Translate business and analytical needs into structured onboarding plans that accelerate the delivery of model‑ready and insight‑ready data.
Oversee the full lifecycle of digital dataset integration into GCP and Snowflake, ensuring scalable design and alignment with analytical and machine‑learning requirements. Deliver high‑quality datasets that support predictive modelling, real‑time insights, and advanced analytical use cases. Enhance onboarding efficiency by identifying process gaps and implementing automation and standardisation where beneficial.
Establish scalable ingestion patterns across APIs, batch processes, native connectors, and warehouse extracts, optimised for analytical workloads. Build robust data pipelines with embedded validation and quality controls to ensure reliable inputs for analytics and modelling. Work with Big Data and engineering teams to ensure all pipelines meet GCP / Snowflake best practices, governance expectations, and security standards.
Guide new data capabilities and requirements through internal security and privacy assessments to ensure compliant delivery. Create reusable frameworks, patterns, and standards that expand self‑serve analytics and accelerate the delivery of future analytical products.
Qualifications
- Extensive experience in data engineering or data platform delivery roles, with a strong track record of onboarding and integrating new data sources.
- Proven experience delivering data solutions in cloud environments such as GCP or Snowflake.
- Strong hands‑on expertise in SQL and Python, with the ability to guide and review production‑quality code and data pipelines.
- Experience designing and implementing data ingestion patterns within cloud infrastructure.
- Solid understanding of data modelling techniques for analytical and reporting use cases.
- Experience working with predictive analytics, including preparing model‑ready datasets and supporting data science workflows.
- Experience leading and mentoring teams, providing technical leadership, and establishing engineering best practices.
- Strong stakeholder management skills, with the ability to translate business requirements into scalable data delivery solutions.
We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet the regulator's standards.
We believe everyone should have the opportunity to interview for a role that matches their skills.
VodafoneThree - Future Insights Lead employer: VodafoneThree
Contact Detail:
VodafoneThree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VodafoneThree - Future Insights Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and role thoroughly. Understand their data strategies and be ready to discuss how your skills align with their needs. We want you to shine!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. This will help you articulate your experience and showcase your expertise in data engineering and analytics.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace VodafoneThree - Future Insights Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Future Insights Lead role. Highlight your experience in data engineering and cloud environments like GCP or Snowflake, and don’t forget to showcase your leadership skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building a world-class digital data foundation and how your background aligns with our mission at StudySmarter.
Showcase Your Technical Skills: We want to see your hands-on expertise in SQL and Python! Include specific examples of projects where you've built data pipelines or integrated new datasets, as this will really catch our eye.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at VodafoneThree
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering and analytics. Brush up on your SQL and Python skills, and be ready to discuss how you've integrated new data sources in cloud environments like GCP or Snowflake.
✨Showcase Your Leadership Skills
Since this role involves leading a multidisciplinary team, prepare examples of how you've successfully mentored others and established best practices. Highlight your experience in stakeholder management and translating business needs into data solutions.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data pipelines, ingestion patterns, and predictive analytics. Be ready to explain your approach to building robust data pipelines and ensuring data quality and compliance.
✨Demonstrate Problem-Solving Abilities
Think of specific instances where you've identified process gaps and implemented automation or standardisation. Show how your proactive approach has enhanced onboarding efficiency and supported advanced analytical use cases.