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- Tasks: Create and maintain data pipelines to support business functions and drive growth.
- Company: Join ClarusONE, a leader in the evolving pharmaceutical supply chain.
- Benefits: Competitive salary, opportunities for skill development, and a dynamic work environment.
- Other info: Collaborate with analytics and software teams in a supportive and innovative culture.
- Why this job: Make a real impact by optimising processes and supporting innovation in healthcare.
- Qualifications: 3 years in data engineering, strong SQL and Python skills, and a passion for tech.
The predicted salary is between 50000 - 65000 £ per year.
The environment in which ClarusONE operates constantly requires the organisation to adapt and change, seeking greater efficiency in how it works through improved process, technology innovation and new ways of working. Delivering these changes with discipline and rigour will ensure that they land with maximum impact, delivering for our Members and for the patients that they serve.
The highly competitive US generic pharmaceutical sector continues to challenge every element of the supply chain. In this constantly changing environment, patients can be served through multiple channels in new and different ways, whilst those that dispense prescriptions, the wholesale distributors that supply them and manufacturers all have to react and respond to how the sector is evolving, which is also heavily influenced by payers, regulatory bodies and federal and state law. To succeed in this environment requires organisations to adapt and change and, at ClarusONE, we play a key role in working alongside multiple stakeholders to deliver the most efficient supply chain model whilst generating value for our Members, their customers and patients through innovative sourcing solutions.
The Data Engineer is primarily responsible for data pipeline creation, design and maintenance in support of all business functions. The capability this role brings will allow ClarusONE to execute data ingestion and transformation quickly, accurately and efficiently; enabling optimal use and analytical insight to support a wide range of strategic and operational business decision processes, in turn driving business growth, optimising processes and supporting automation through the use of appropriate data/information. The Data Engineer will be part of the data engineering team, building and maintaining our data infrastructure. This position is responsible for monitoring and supporting our production environment, building and testing new data pipelines in a modern data warehousing landscape. They will work within the data governance framework at ClarusONE ensuring that sensitive data is properly protected, and will collaborate closely with both the analytics and data science teams, and the software engineering function, to maintain an accurate, efficient and conformant data environment.
Responsibilities:
- Data engineering
Education/Experience:
- Years’ experience in a data-centric function
Knowledge/Skills - Essential:
- Experience of building data ingestion and transformation pipelines
- Experience working within a structured development and release environment (e.g. peer review, coding standards, CI/CD release processes)
- Experience of testing and QA in a data context
- Strong coding skills, particularly SQL and Python
- Experience with database technologies and concepts (Snowflake, Databricks or other cloud-based data warehouses) and data transformation processes (using DBT / Airflow an advantage)
- Proven written and verbal communication skills, and attention to detail
- Willingness to develop new technical skills and become an SME for new technologies adopted by the business
Data Engineer employer: McKesson’s Corporate
Contact Detail:
McKesson’s Corporate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your coding prowess in SQL and Python, and how you've tackled real-world data challenges.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around data ingestion and transformation processes. Be ready to discuss your experience with tools like Snowflake and DBT, and how you ensure data quality.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight your adaptability and innovative mindset, which are key in our ever-evolving environment.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with data pipelines, SQL, and any relevant technologies like Snowflake or Databricks. We want to see how your skills align with what we need!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission at ClarusONE. Be sure to mention any innovative projects you've worked on that demonstrate your problem-solving skills.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Include specific examples of data ingestion and transformation pipelines you've built. We love seeing real-world applications of your skills, so be detailed about your contributions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it lands in the right hands. Let’s get started on this journey together!
How to prepare for a job interview at McKesson’s Corporate
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data ingestion and transformation pipelines. Be ready to discuss your experience with SQL, Python, and any relevant database technologies like Snowflake or Databricks. Having specific examples from your past work will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially in a data-centric environment. ClarusONE values innovation, so think of instances where you’ve improved processes or introduced new technologies. This will demonstrate your ability to adapt and contribute to their evolving landscape.
✨Familiarise Yourself with CI/CD Processes
Since the role involves working within a structured development and release environment, be ready to discuss your experience with peer reviews, coding standards, and CI/CD release processes. Showing that you understand these concepts will highlight your readiness for the position.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you’ll need to collaborate with analytics, data science, and software engineering teams. Clear communication will set you apart and show that you can work well with others.