Head of Data & Analytics Engineering

Descriptiontpf Recruitment
Charing Cross, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 64K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Java
PHP
API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Automation of Tests
Azure
Software as a Service
Cloud Computing
DevOps
HP Loadrunner
JMeter
Selenium
Service Virtualization
Test Data
Google Cloud Platform
Performance Testing
Postman
Appium
Cypress
OpenText
Playwright
Microfocus
Go

Job description

The Quality Engineering (QE) Technical & Transformational Leader is a pivotal senior responsible for driving QE modernization, technical excellence, and large scale transformation across Clients multi platform, multi portfolio environment.

This leader is expected to operate at CXO facing levels, influence senior stakeholders, and navigate Clients complex environment with confidence, data backed recommendations, and strong communication.

This role combines deep technical authority, strategic consulting, transformation ownership, and organizational leadership, ensuring QE becomes a value generating, data driven engineering discipline for Clients.This leader will be crucial in:

Turning QE into a value producing function, not just execution.

Bringing engineering discipline, data first thinking, and performance culture.

Steering conversations with Client leadership with technical depth and strategic authority.

Enabling Wipro to strengthen and stabilize the long term partnership with Client through excellence and innovation.

Key Responsibilities

Lead QE Transformations

Architect and drive end to end QE & Testing transformation aligned to Clients engineering, digital, and modernization roadmap.

Define and own QE operational model evolution, embedding continuous testing, shift left, shift right, DevOps alignment, automation first culture, and AI/GenAI adoption.

Identify and drive transformation levers such as automation scaling, test data modernization, environment optimization, and productivity uplift.

Partner with domain leaders to introduce modern testing practices (in sprint automation, service virtualization, early performance testing, observability, etc.).

T

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Requirements

Technical Expertise (Exceptional Level)

2025+ years in QE engineering, transformation, and automation leadership.

Mastery of:

o Playwright, Appium, Selenium, Cypress, Java

o API Automation (REST Assured, Karate, Postman)

o Performance (JMeter, LoadRunner)

o Cloud native testing (Azure, AWS, GCP)

o Test orchestration, CI/CD pipelines

o TDM, environment strategy, observability tools

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About the company

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