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Senior Data Engineer

LuxeVision Consulting LLC
united kingdom
1 month ago
Applications closed

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Senior Data Engineer - Snowflake - ÂŁ100,000

About Us:

Luxe Vision Consulting is a Wisconsin-based consulting firm dedicated to connecting top global talent with leading U.S. companies. We specialize in sourcing skilled professionals, conducting rigorous screening and technical assessments, and preparing candidates for opportunities in the U.S. job market.

Our mission is to bridge the gap between exceptional talent and top-tier businesses, ensuring the right fit for both candidates and clients. With a focus on quality, efficiency, and innovation, we help professionals unlock their potential and secure rewarding careers with prestigious U.S. organizations.

At Luxe Vision Consulting, we believe in integrity, excellence, and results-driven recruitment. Whether you're a company looking for the best talent or a professional seeking your next big opportunity, we are committed to making the connection that drives success.

The Role

🚀 We're Hiring: Data Engineer – Join Luxe Vision Consulting! 🚀


Are you a skilled Data Engineer looking to work with top US companies? Luxe Vision Consulting is seeking a talented Data Engineer to design, build, and optimize scalable data pipelines for our clients.


🔍 Position: Data Engineer

🌎 Location: Remote

đź’µ Salary Range: $2,500 - $3,000/month (negotiable based on experience)

đź“… Work Hours: Flexible (aligned with US client time zones)


Key Responsibilities:


Develop and maintain data pipelines using PySpark, Pandas, and SQL

Optimize ETL workflows for efficient data processing

Collaborate with cross-functional teams to support analytical and machine learning projects

Manage cloud-based infrastructure (AWS, GCP, or Azure)

Ideal Profile

Required Skills & Experience:


1+ years of experience in Data Engineering or a related field

Strong proficiency in Python (PySpark, Pandas) and SQL

Experience with cloud platforms (AWS, GCP, or Azure)

Familiarity with big data technologies (Apache Spark, Hadoop, Kafka) is a plus

đź“‹ How to Apply:

Fill out the application form here: https://docs.google.com/forms/d/e/1FAIpQLSdnd7LZnaxgJf438qrP7O_8pWAptGF8nYUqpA8L-vI0NiEsKg/viewform?usp=header

Alternatively, feel free to message us directly here on the page or email your resume to .

đź“‘Subject: Position - First and Last Name


Only shortlisted candidates will be contacted. We look forward to hearing from you!

What's on Offer?

  • Great work environment
  • Attractive salary & benefits
  • Flexible working options
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