Enable job alerts via email!

Data Engineer

Veeva Systems

United Kingdom

Remote

GBP 55,000 - 75,000

Full time

Today
Be an early applicant

Job summary

A leading life sciences technology firm is seeking a Data Engineer to enhance its data processing platform. This role requires expertise in Java or Python, experience with Apache Spark, and proficiency in cloud software development. The position offers comprehensive benefits, fitness reimbursement, and the flexibility to work from anywhere in the UK.

Benefits

Comprehensive benefits package
Fitness reimbursement
Veeva Work-Anywhere

Qualifications

  • Expert skills in Java or Python.
  • Experience with Apache Spark or PySpark.
  • Experience writing software for the cloud (AWS or GCP).

Responsibilities

  • Work on Veeva Link’s next-gen Data Platform.
  • Improve our current environment with features, refactoring, and innovation.
  • Work with JVM-based languages or Python on Spark-based data pipelines.

Skills

Java
Python
Apache Spark
Cloud Computing (AWS or GCP)
English communication

Tools

MLFlow
DeltaLake
Redshift
Terraform
Job description
The Role

The Role was originally presented; this section describes the purpose and impact of Veeva Link in the life sciences industry and the data engineer focus on the data pipelines and Link data processing platform. Read more about Veeva Link on our product pages at https://www.veeva.com/products/veeva-link/.

As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market.

You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process.

We hire the same role for different engineering domains: Sourcing, Tagging, Matching, and Provisioning.

Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you.

What You\'ll Do
  • Work on Veeva Link’s next-gen Data Platform
  • Improve our current environment with features, refactoring, and innovation
  • Work with JVM-based languages or Python on Spark-based data pipelines
  • Operate ML models in close cooperation with our data science team
  • Experiment in your domain to improve precision, recall, or cost savings
Requirements
  • Expert skills in Java or Python
  • Experience with Apache Spark or PySpark
  • Experience writing software for the cloud (AWS or GCP)
  • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions
Nice to Have
  • Experience with operating machine learning models (e.g., MLFlow)
  • Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift)
  • DevOps skills, including terraform and general CI/CD experience
  • Previously worked in agile environments
  • Experience with expert systems
Perks & Benefits
  • Comprehensive benefits package
  • Fitness reimbursement
  • Veeva Work-Anywhere

#RemoteUK

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.

If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.