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- Tasks: Lead data engineering initiatives and mentor junior engineers in an agile environment.
- Company: Join WNS, a top BPM company transforming industries with innovative solutions.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Why this job: Make a real impact by driving architectural decisions and leading complex data projects.
- Qualifications: 10+ years in data engineering with strong leadership and agile experience.
- Other info: Dynamic team culture with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
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.
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+ years 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.
Group Manager-Data Engineering in London employer: WNS Global Services
Contact Detail:
WNS Global Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Group Manager-Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Group Manager role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those involving cloud delta lakehouse platforms or agile methodologies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for data engineering roles and practice your responses. Be ready to discuss your experience with SQL Server, Azure DevOps, and any architectural decisions you've made in previous roles.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team at WNS!
We think you need these skills to ace Group Manager-Data Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering experience, especially in cloud platforms and agile methodologies, to show us you're the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our mission at WNS. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Skills: Don’t forget to mention your proficiency with the tech stack listed in the job description. Whether it's SQL Server or Azure DevOps, we want to see how your technical expertise can contribute to our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at WNS Global Services
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on SQL Server, Azure SQL Database, and PySpark. Being able to discuss your experience with these technologies will show that you’re not just a fit for the role but also genuinely interested in the work.
✨Showcase Your Leadership Skills
As a Group Manager, you'll need to lead architectural decisions and mentor junior engineers. Prepare examples of how you've successfully led teams or projects in the past. Highlight your ability to drive alignment and collaboration within teams, as this is crucial for the role.
✨Understand Agile Methodologies
Since the role involves working in an agile environment, be ready to discuss your experience with SCRUM or Kanban. Share specific instances where you participated in agile ceremonies and how they contributed to project success. This will demonstrate your adaptability and understanding of agile principles.
✨Prepare for Problem-Solving Questions
Expect questions about data issues and how you’ve resolved them in the past. Be prepared to walk through your thought process for root cause analysis and remediation. This will showcase your analytical skills and your ability to take ownership of complex data initiatives.
