Data Engineer, Veeva

OpenData Commercial

Salary not provided

+ Restricted Stock Units (RSUs)

AWS
Python
Scala
Airflow
Kotlin
Redshift
Spark
Mid and Senior level
London
Remote from UK

More information about location

Veeva

Cloud-based software for life sciences

Open for applications

Veeva

Cloud-based software for life sciences

1001+ employees

B2BEnterpriseSaaSCloud ComputingScience

Open for applications

Salary not provided

+ Restricted Stock Units (RSUs)

AWS
Python
Scala
Airflow
Kotlin
Redshift
Spark
Mid and Senior level
London
Remote from UK

More information about location

1001+ employees

B2BEnterpriseSaaSCloud ComputingScience

Company mission

Building the Industry Cloud for Life Sciences

Role

Who you are

  • Over 3 years of hands-on Python development experience for production systems
  • Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure)
  • Skilled in designing and implementing data pipelines using distributed storage platforms
  • Demonstrated analytical skills and structured approach to software design
  • Have a strong intrinsic desire to learn and fill in missing skills
  • Highly proactive finding ways to overcome challenges

Desirable

  • Proficiency in Git, including knowledge of branching strategies, merge mechanisms, and repository management
  • Demonstrated ability to build and maintain test automation frameworks and CI/CD pipelines
  • Experience with Polars

What the job involves

  • Working as a data engineer in our global Data Platform Engineering team at OpenData, you will drive impactful change by harmonizing data operations globally and enhancing data quality
  • Your responsibilities will include creating the tools and processes necessary to efficiently store, manage, and compile data, directly contributing to the success of OpenData
  • Build data tools to streamline data operations globally
  • Collaborate with cross-functional teams to deliver data solutions
  • Contribute to the Data Engineering community at OpenData to influence tooling and standards to improve data quality and productivity
  • Develop a data validation framework to automate quality control processes

Salary benchmarks

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Insights

18% employee growth in 12 months

Company

Company benefits

  • Fitness and wellness reimbursement
  • 2% salary towards personal development
  • Childcare vouchers
  • Work anywhere
  • Home internet reimbursement
  • Private Medical Insurance
  • Cash Health Plan
  • Life Assurance
  • Income protection
  • Auto Enrolment Pension Scheme
  • 25 days + Public Holidays + 3 day festive break

Our take

Veeva was created out of a predicted need for cloud-based enterprise software at a time when this software was nascent, and when current systems were archaic and cumbersome to use. By focusing on the life sciences sector, the company fills a niche to help some of the most operationally complex businesses run efficiently.

Veeva has managed to position itself as the go-to solution for large and growing companies in the life sciences sector by offering fully comprehensive cloud solutions that support the most critical functions from R&D to commercial.

The company has over 800 customers, ranging from the world’s largest pharmaceutical companies, such as AstraZeneca, to emerging biotechs. For future growth, Veeva looks to the continual development of its services and expansion of its customer base. Its 2024 launch of the Veeva Compass Suite for commercial data products gives a more comprehensive view of patient information and exemplifies how Veeva is strengthening its product to meet future challenges.

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Freddie

Company Specialist at Welcome to the Jungle