Lead Data Engineer
WNS Global Services9 months ago
London, United KingdomStaff+
Responsibilities
- Develop features for the cloud Delta Lakehouse data platform.
- Resolve data and platform issues through investigation, root cause analysis, and code or data changes.
- Monitor the data platform on a daily basis.
- Lead architectural decisions and complex data initiatives.
- Mentor junior engineers and establish engineering standards, documentation, and reusable frameworks.
- Participate in agile team ceremonies and collaborate with the technical team.
- Apply data warehouse testing strategies and quality assurance processes.
- Manage code using Git branching strategies and support technical releases through Azure DevOps.
Requirements
- 10+ years of overall data engineering experience.
- At least five years of experience working in a data warehouse solution landscape.
- Proven ability to lead complex data initiatives and drive architectural decisions.
- Experience with data issue ownership, investigation, root cause analysis, and remediation.
- Understanding of data warehouse testing and quality assurance processes.
- Understanding of Git branching strategies, code management, and Azure DevOps technical release management.
- Confident and concise communication skills to drive alignment, collaboration, and efficiency.
- Bachelor's or master's degree in computer science, data management, or information systems, or relevant data solutions development qualifications.
- Relevant qualifications may include Microsoft certification, Databricks Certification, or data apprenticeship qualifications.
Benefits
- Four days per week working from the Central London office and one day working from home.
Tech Stack
Categories
Data Engineering
About WNS Global Services
WNS Global Services provides outsourced business process and digital transformation services, including finance and accounting, customer experience, procurement, data-led analytics, risk, legal, and industry-specific operations for enterprises across multiple industries. Founded in 1996 and now part of Capgemini, it serves over 700 clients worldwide through a network of global delivery centers. Its teams also build and run cloud-based data and analytics solutions at scale.