At a Glance
- Tasks: Lead data initiatives and develop features on a cloud data platform.
- Company: Join WNS, a top BPM company transforming industries with tech and analytics.
- Benefits: Enjoy a competitive salary, flexible work options, and career growth opportunities.
- Other info: Work in a dynamic team in Central London with a 4-day office week.
- Why this job: Make a real impact by leading innovative data solutions in a collaborative environment.
- Qualifications: 10+ years in data engineering with strong leadership and agile experience.
The predicted salary is between 48000 - 72000 £ per year.
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.
Please Note that this is a 4 Day Work from Office Role in Central London & 1 Day work from Home.
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.
Qualifications:
- 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.
Additional Information: SQL Server, SSIS, T-SQL.
Lead Data Engineer employer: WNS Global Services
WNS (Holdings) Limited is an exceptional employer, offering a dynamic work environment in the heart of Central London. With a strong focus on employee growth and development, we provide opportunities for mentorship and leadership within our agile teams, ensuring that our employees are equipped to drive innovative solutions. Our collaborative culture, combined with the flexibility of a 4-day office week, makes WNS a rewarding place to build a meaningful career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at WNS. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with data engineering projects, especially those involving cloud platforms. We want to see how you’ve tackled challenges and led initiatives.
✨Be Agile in Your Approach
Since this role involves agile methodologies, be ready to discuss how you've worked in agile teams before. Talk about your experience with SCRUM or Kanban and how you’ve contributed to team ceremonies. It shows you’re a team player!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at WNS.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience in data engineering, especially with cloud delta lakehouse platforms and agile methodologies. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention any relevant projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in SQL Server, SSIS, and Azure DevOps. We love seeing candidates who can demonstrate their understanding of data warehouse testing strategies and code management practices.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at WNS Global Services
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around cloud delta lakehouse platforms. Brush up on your SQL Server, SSIS, and T-SQL skills, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Since this role involves leading architectural decisions and mentoring junior engineers, be prepared to discuss your past experiences in leadership. Share examples of how you've driven complex data initiatives and the impact they had on your team or project.
✨Familiarise Yourself with Agile Methodologies
As the company operates in an agile environment, it’s crucial to demonstrate your understanding of SCRUM and Kanban. Be ready to talk about your experience in agile ceremonies and how you’ve contributed to backlog refinement and daily stand-ups.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. This will help you drive alignment and collaboration during the interview.
