At a Glance
- Tasks: Lead data initiatives and mentor junior engineers in a dynamic agile team.
- Company: Innovative tech firm located in Central London with a collaborative culture.
- Benefits: Enjoy a 4-day office week, flexible remote work, and competitive salary.
- Other info: Join a vibrant team with opportunities for professional growth and development.
- Why this job: Make a real impact on complex data projects while shaping engineering standards.
- Qualifications: 10+ years in data engineering with strong leadership and agile experience.
The predicted salary is between 72000 - 108000 £ per year.
Please note that this is a 4-day work from office role in Central London and 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+ 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.
- Ability 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.
Lead Data Engineer in London employer: WNS Global Services
WNS, part of Capgemini, is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the opportunity to thrive in a fast-paced environment. With a strong focus on professional development, employees can benefit from extensive training and growth opportunities while working alongside industry experts in a collaborative setting. Located in a vibrant area, WNS provides a unique advantage for those seeking meaningful employment in the motor engineering field, ensuring a rewarding career path with a commitment to innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your 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
Prepare for interviews by brushing up on common data engineering challenges and solutions. Be ready to discuss your experience with SQL Server, Azure DevOps, and any architectural decisions you've made in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Lead Data Engineer in London
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 our needs!
Showcase Your Projects:Include specific projects where you've led complex data initiatives or made architectural decisions. We love seeing real examples of your work that demonstrate your expertise and problem-solving skills.
Be Clear and Concise:When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, so get to the point while showcasing your passion for data engineering and how you can contribute to our team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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, SSIS, T-SQL, ADF, and Azure SQL Database. Being able to discuss your experience with these tools will show that you’re ready to hit the ground running.
✨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 fit for the role.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in an agile environment, be prepared to discuss your experience with SCRUM or Kanban. Think of specific instances where you participated in agile ceremonies and how they contributed to project success. This will show that you can seamlessly integrate into their team.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts. Being able to drive alignment and collaboration within teams is crucial, so make sure you convey your ideas effectively during the interview.
