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 Senior Data Engineer (Databricks), you'll contribute to the design and development of modern data platforms and scalable data pipelines. You will work on data engineering initiatives using Databricks and lakehouse architecture, building robust data pipelines and helping deploy 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 contribute to engineering discussions, support technical decisions, and help uphold data engineering standards and practices across V2 AI.
What you will do:
Design, develop, and deploy data pipelines and data platform components 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 implement data models and platform architectures
Build scalable, secure, and maintainable cloud data solutions leveraging AWS, Azure, or GCP services
Contribute to data engineering best practices, code quality, and architectural discussions
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 pipelines, frameworks, and engineering standards
Stay up to date with modern data engineering technologies, Databricks capabilities, and cloud data platforms, sharing knowledge with the team
About You
Strong experience designing and delivering data engineering solutions and modern data platforms
Experience working 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
Cloud experience across AWS, Azure, or GCP
Good understanding of data modelling, data architecture, and data engineering best practices
Experience working collaboratively with engineers and contributing to technical decisions
Passionate about building scalable data pipelines 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!