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For Companies At a Glance
- Tasks: Lead the design and deployment of data pipelines using Python, Scala, Spark, and SQL.
- Company: Join PA Consulting, a leader in innovative consulting solutions.
- Benefits: Enjoy competitive pay, flexible work options, and a dynamic team environment.
- Why this job: Be at the forefront of big data technology and make a real impact.
- Qualifications: Expertise in AWS or Azure cloud platforms is essential.
- Other info: This role is based in London, offering a vibrant city experience.
The predicted salary is between 43200 - 72000 £ per year.
This is a job posted by our partner Jooble
Skills and Experience
Designing and deploying production-grade data pipelines (batch and streaming) within a big data architecture using tools like Python, Scala, Spark, and SQL.
Expertise in either AWS or Azure cloud platforms, with hands-on experience in key services such as:
Location
108 E 16th Street, New York, NY 10003
#J-18808-Ljbffr
Lead Data Engineer in London - PA Consulting employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in London - PA Consulting
✨Tip Number 1
Make sure to showcase your experience with designing and deploying data pipelines. Highlight specific projects where you've used Python, Scala, Spark, or SQL to demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest features and best practices of AWS or Azure cloud platforms. Being able to discuss recent updates or tools can set you apart during discussions.
✨Tip Number 3
Prepare to discuss your approach to big data architecture. Be ready to explain how you ensure scalability and reliability in your data solutions, as this is crucial for a Lead Data Engineer role.
✨Tip Number 4
Network with professionals in the data engineering field. Attend meetups or webinars related to big data technologies to gain insights and potentially connect with someone at PA Consulting.
We think you need these skills to ace Lead Data Engineer in London - PA Consulting
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in designing and deploying data pipelines. Use specific examples of projects where you utilized Python, Scala, Spark, or SQL.
Showcase Cloud Expertise: Clearly indicate your expertise in AWS or Azure. Mention specific services you have worked with and how they contributed to your projects.
Tailor Your CV: Customize your CV to align with the job description. Focus on skills and experiences that match the requirements for the Lead Data Engineer position.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Make it personal and engaging.
How to prepare for a job interview at WorksHub
✨Showcase Your Technical Skills
Be prepared to discuss your experience with designing and deploying data pipelines. Highlight specific projects where you used Python, Scala, Spark, or SQL, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Cloud Expertise
Since expertise in AWS or Azure is crucial, make sure to share your hands-on experience with these platforms. Discuss key services you've utilized and how they contributed to the success of your projects.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to work under pressure.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company's data strategy and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
