Experience with agile delivery, ideally Scrum or Kanban
Understanding of data warehouse testing and quality assurance
Bachelor's or master's degree in computer science, data management or information systems
Qualification wording
Overall 10+yrs experience in data engineering.
At least five years of experience working in a data warehouse solution landscape.
Experienced with agile delivery methodologies, ideally SCRUM/Kanban.
Understanding of data warehouse testing strategies and quality assurance processes.
A bachelor's or master's degree in computer science, data management, information systems industry approved
Education & alternatives
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
Open 6 monthsWe first saw this posting 180 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
May 9, 2026180 days ago
Recorded sightings
1,308
Last seen by us
Nov 5, 2026
Employer says posted
Feb 19, 2026
May 9, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 180
654
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past WNS Global Services’s usual: its jobs come down by about day 2.
From 11,033 similar postings that came down, and 62 of WNS Global Services’s. Coming down is not always a hire.
WNS Global Services is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- SQL Server, SSIS, T-SQL
- ADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lake
Company Description
- 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
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
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)
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.