Data Engineer

3 weeks ago


London, Greater London, United Kingdom Veeva Systems, Inc. Full time

Overview: Veeva Systems, Inc. is a pioneering company in the industry cloud space, dedicated to helping life sciences companies bring therapies to patients faster.

We're looking for a highly skilled Data Engineer to join our team and contribute to the development of our next-gen data platform. As a key member of our engineering team, you will be responsible for designing, implementing, and maintaining large-scale data pipelines using JVM-based languages or Python on Spark-based platforms.

About the Role: We are seeking an expert Data Engineer with a strong background in Java or Python, experience with Apache Spark or PySpark, and expertise in writing software for the cloud (AWS or GCP). You should have excellent communication skills and be able to collaborate effectively with our data science team to operate ML models.

Responsibilities:

  • Design, develop, and deploy high-quality data pipelines using JVM-based languages or Python on Spark-based platforms.
  • Collaborate with our data science team to integrate machine learning models into our data platform.
  • Work closely with our DevOps team to ensure seamless integration with our CI/CD pipeline.
  • Participate in architectural enhancements and contribute to the design of our data lake, lakehouse, and warehouse infrastructure.
  • Stay up-to-date with industry trends and best practices in data engineering.

Requirements:

  • Expert-level proficiency in Java or Python.
  • Experience with Apache Spark or PySpark.
  • Strong understanding of cloud computing concepts and experience with AWS or GCP.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Computer Science or related field.

Benefits:

  • Competitive salary range: £80,000 - £110,000 per annum.
  • Annual allocations for continuous learning and professional development.
  • Fitness reimbursement program.
  • Opportunity to work on cutting-edge technology and contribute to the growth of our data platform.


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