Lead Data Engineer
About V2 AI
V2 AI is a leading AI-Native consultancy backed by $30m in VC funding, allowing us to meet our customers' needs. We harness the power of AI to accelerate business outcomes for some of the world's largest brands. We bring decades of experience and a unique delivery model to partner with our customers on the most complex problems for immense, measurable impact.
Our Services
- AI Strategy & Governance
- AI Enablement
- Applied AI
- Data & AI Security
About the Role
As a Lead Data Engineer (Databricks), you'll drive the design and development of modern data platforms and scalable data pipelines. You'll lead data engineering initiatives using Databricks and lakehouse architecture, building robust data pipelines and deploying scalable cloud data platforms across AWS, Azure, or GCP.
You'll collaborate with product teams, architects, AI engineers, and other data engineers to deliver end-to-end data solutions, including modern data platforms, advanced analytics capabilities, and data foundations that enable machine learning and AI applications.
You'll also mentor team members, influence technical decisions, and help shape data engineering standards and practices across V2 AI.
Responsibilities:
- Lead the design, development, and deployment of data platforms and pipelines using Databricks, Spark, and cloud technologies
- Build and optimise batch and streaming data pipelines to support analytics, machine learning, and AI workloads
- Collaborate with cross-functional teams (product, data, AI, and architecture) to define data models, platform architecture, and technical strategy
- Ensure scalable, secure, and maintainable cloud data architectures leveraging AWS, Azure, or GCP services
- Mentor and guide engineers on data engineering best practices, code quality, and architectural decisions
- Implement data platform workflows, including orchestration, monitoring, data quality, and performance optimisation
- Work with structured and unstructured data to enable advanced analytics and AI-driven capabilities
- Contribute to reusable data frameworks, pipelines, and engineering standards
- Stay up to date with modern data engineering technologies, Databricks capabilities, and cloud data platforms, sharing knowledge internally and externally
About You:
- Extensive experience designing and delivering data engineering solutions and modern data platforms
- Strong expertise with Databricks, Spark, and lakehouse architecture
- Experience building scalable data pipelines and distributed data processing systems
- Experience working with modern data platforms such as Databricks, Snowflake, or similar ecosystems
- Strong cloud experience across AWS, Azure, or GCP
- Deep understanding of data modelling, data architecture, and data engineering best practices
- Experience mentoring engineers and influencing technical decisions across projects
- Passionate about building scalable data platforms, reusable frameworks, and high-quality engineering solutions
- Excellent communicator and collaborator, able to work across engineering, product, and data teams
Benefits:
- Competitive Salary package
- Pick your equipment
- Gifted Day Off ("VersionUp Day")
- Generous parental leave
- Well funded start up $$$
- Annual Training budget
- Mentorship Program
- Clear promotion pathways
- Flexible working
- Meet-ups & socials
- 97% Rating on corporate social responsibility
APPLY NOW:
If you are keen to join one of the fastest-growing consultancies in this space and interested in shaping the future of V2 AI, then APPLY NOW!