At a Glance
- Tasks: Lead the design and development of a cutting-edge data platform on Azure using Databricks.
- Company: Join a leading private equity firm in London with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with stakeholders and third-party vendors in a dynamic environment.
- Why this job: Make a significant impact by building a greenfield data warehouse and portfolio monitoring platform.
- Qualifications: Strong Python/SQL skills and 5+ years of data engineering experience required.
The predicted salary is between 80000 - 98000 £ per year.
twentyAI is supporting a leading private equity firm in London to build a greenfield data warehouse and portfolio monitoring platform on Azure using Databricks. You will design and lead the end-to-end data platform, from ingestion pipelines to governance, focusing on scalable ETL/ELT, data quality and auditable processes, while collaborating with stakeholders and third-party vendors.
This hybrid role expects strong Python/SQL skills, 5+ years in data engineering, and proven experience delivering.
We think you need these skills to ace Lead Databricks Data Platform Engineer - Hybrid London
Python
SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Data Engineering
API Integration
