Key Responsibilities
- Design and implement scalable, cloud-based data architectures using Databricks.
- Build and optimise end-to-end data pipelines supporting analytics and Business Intelligence initiatives.
- Lead the development of modern Lakehouse and data platform solutions.
- Work closely with technical and business stakeholders to define data strategy and architecture.
- Establish best practices across data engineering, governance, performance optimisation and platform design.
- Support data platform modernisation and transformation initiatives.
- Provide technical leadership while remaining heavily involved in hands-on delivery.
Required Experience
- Strong commercial experience with Databricks in both engineering and architecture capacities.
- Proven track record designing and building end-to-end data platforms.
- Expertise in data pipeline development, ETL/ELT processes and data integration.
- Strong Python and SQL skills.
- Experience with modern cloud data architectures and Lakehouse methodologies.
- Ability to engage with stakeholders, gather requirements and translate them into scalable technical solutions.
- Consultancy or client-facing experience is highly desirable.
Contract Details
- Contract Length: 6 Months
- Day Rate: £450-£600 per day
- Engagement: Inside IR35
- Start Date: ASAP
- Client: Global Consultancy
Rate:
£600/day
Location:
City of London
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Not Specified