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

Cloud-based software for life sciences

Open for applications

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

Job

Company

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

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.

Freddie

Company Specialist at Welcome to the Jungle

Insights

18% employee growth in 12 months

Glassdoor (3.8)

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

Company HQ

Pleasanton, CA

Leadership

Matt Wallach

(Board Member)

Previously Chief Marketing Officer at Health Market Science for 2 years and General Manager - Pharmaceuticals & Biotechnology at Siebel Systems for 5 years.

Peter Gassner

(CEO)

Previously Staff Developer at IBM for 5 years and SVP of Technology at salesforce.com for 2 years

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