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- Tasks: Lead data initiatives and develop features on a cloud delta lakehouse 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.
- Why this job: Make an impact by leading innovative data solutions in a collaborative environment.
- Qualifications: 10+ years in data engineering with strong leadership and agile experience.
- Other info: Work in a dynamic team with a focus on mentorship and technical excellence.
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.
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.
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.
- 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.
- 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).
- SQL Server, SSIS, T-SQL
- ADF, ADLS, Azure SQL Database, PySpark, Spark SQL, Databricks, Delta lake
Lead Data Engineer employer: WNS
Contact Detail:
WNS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨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 lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get involved in relevant online communities or forums. Share your knowledge, ask questions, and engage with others in the industry. This can help you build relationships and even lead to job referrals.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss your past projects and how you've tackled challenges in your previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Make sure your application stands out by showcasing your unique skills and experiences.
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 with data engineering, cloud platforms, and agile methodologies. We want to see how your skills match what we're looking for!
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. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. We’re interested in seeing how you've tackled complex data challenges and what technologies you've used. Don’t hold back!
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 one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at WNS
✨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 Lead Data Engineer, you'll need to demonstrate your ability to lead complex data initiatives. Prepare examples of past projects where you’ve made architectural decisions or mentored junior engineers. This will highlight your leadership capabilities and your understanding of engineering standards.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in an agile environment, be ready to discuss your experience with SCRUM or Kanban. Think of specific instances where you participated in agile ceremonies like daily stand-ups or backlog refinements, as this will show your adaptability and teamwork skills.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially around data issues. Be prepared to walk through your thought process for investigating and resolving data problems, including any root cause analysis you've conducted. This will demonstrate your analytical skills and ownership of data challenges.