At a Glance
- Tasks: Build and improve data pipelines for Veeva Link’s innovative data platform.
- Company: Join Veeva Systems, a pioneering SaaS company transforming life sciences.
- Benefits: Enjoy comprehensive benefits, fitness reimbursement, and annual learning allocations.
- Other info: Be part of a diverse team committed to inclusion and growth.
- Why this job: Make a real impact in healthcare while working flexibly from anywhere.
- Qualifications: Expertise in Java or Python and experience with cloud software.
The predicted salary is between 60000 - 80000 £ per year.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for, e.g., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. 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
- Annual allocations for continuous learning, development & charitable contributions
- Fitness reimbursement
- Veeva Work-Anywhere
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.
Remote Data Engineer in Paisley employer: Veeva Systems
Veeva Systems is an exceptional employer that champions a mission-driven culture, prioritising employee success alongside customer satisfaction. With a commitment to flexibility through its Work Anywhere policy, comprehensive benefits, and a strong focus on continuous learning and development, Veeva fosters an inclusive environment where diverse talents can thrive. Join us in transforming the life sciences industry while enjoying the unique advantages of working for a pioneering public benefit corporation.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer in Paisley
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Remote Data Engineer in Paisley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Veeva Systems, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Veeva Systems
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
