Lead Data Engineer

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Lead Data Engineer at WNS Global Services in London, this four-day in-office role with one day remote calls for a seasoned professional who can own and shape cloud data initiatives on a Delta Lakehouse platform. Expect to steer architectural decisions, mentor junior engineers, and set standards while delivering features and resolving issues in an agile team. Candidates should bring 10+ years in data engineering, 5+ in data warehousing, Azure DevOps release management, Git, and PySpark Spark SQL Databricks and Delta Lake. Highlight communication, stakeholder alignment, and a proven track record in data quality and modular solutions. Include relevant certifications such as Microsoft or Databricks and project outcomes.

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence. We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 66,000+ employees.

Job Description

Please Note that this is a 4 Day Work from Office Role in Central London & 1 Day work from Home

Key Responsibilities

• Feature development, issue resolution, and daily monitoring on cloud delta lakehouse data platform.
• Operate as part of an agile technical team participating in all agile team ceremonies such as daily stand up meetings and backlog refinement sessions.
• Lead Architectural decisions, mentor junior engineers and contribute to establishing engineering standards, documentation, and reusable frameworks.

Experience

• Overall 10+yrs experience in data engineering.
• At least five years of experience working in a data warehouse solution landscape.
• Proven ability to lead complex data initiatives and drive architectural decisions.
• Experienced with agile delivery methodologies, ideally SCRUM/Kanban.
• Be able to assume ownership of data issues, perform investigation and root cause analysis, and implement remediation through code and data changes.
• Understanding of data warehouse testing strategies and quality assurance processes.
• Good understanding of git branching strategies and code management.
• Good understanding of technical release management processes in Azure DevOps.
• Confident and concise communication skills, with the ability to drive alignment, collaboration, and efficiency within teams.

Qualifications

• A bachelor's or master's degree in computer science, data management, information systems industry approved; relevant data solutions development qualifications (e.g. Microsoft certification; Databricks Certification; data apprenticeship qualifications)

Additional Information

Tech Stack

• SQL Server, SSIS, T-SQL

• ADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lake