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WNS

Lead Data Engineer

London
Posted 3 days ago
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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.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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.

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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
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Skills

Data Engineering
Cloud Delta Lakehouse
Azure DevOps
PySpark
Spark SQL
Databricks
SQL Server
SSIS
T-SQL
ADF
ADLS
Azure SQL Database
Agile
Scrum
Kanban
Git

Location

London, England, United Kingdom

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