Data Engineer

ClarusONE Sourcing Services, LLP, provides strategic generic pharmaceutical services for both Walmart Stores, Inc. and McKesson Corporation.  Its’ mission is to enable access to affordable medicines, which it has successfully been doing since its inception in 2016. 

ClarusONE is a joint venture between Walmart and McKesson, two of the top 10 biggest corporations in the USA, according to the Fortune 500 list.  They have more than two decades of history working together to improve the quality and lower the cost of pharmaceutical care to patients.  This partnership leverages McKesson’s demonstrated strength and expertise in global pharmaceutical sourcing in conjunction with Walmart’s strength and commitment to delivering leading health and wellness services to their customers. 

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.  

ClarusONE Sourcing Services is headquartered in London and prides itself on its can-do attitude that has ensured millions of Americans pay less when buying generic pharmaceuticals every day. 

Job Title:  Data Engineer 

Location:  London, United Kingdom

Level: P3  

Reports to:  Senior Manager, Data Engineering 

Job Purpose: 

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 & 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 & 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 though 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. 

our customers in the analytics team and across ClarusONE to; and productionising data science and machine learning processes. 

Responsibilities: 

• Work across the development lifecycle from prototyping, to delivering production data solutions to resolving data issues with the business users 

• Provide data expertise and effectively support the ongoing demand for new or enhanced data sets, aligned to the architecture plan and strategic direction of the data environment 

• Execute the development of data ingestion and transformation pipelines using multiple technologies (SQL, Snowflake, python, DBT / Astronomer, APIs etc); leveraging agile methodologies 

• Support strategic initiatives; design, build and support data solutions conducive to business insights, reporting and analytics 

• Applying data engineering best practice and tools to create and maintain data pipelines and extract, transform and load data.  

• Applying the good coding standards and principles including logging and unit testing to the pipelines created. 

• Supporting the production data warehouse, communicating issues promptly to stakeholders and working to address them 

• Present and defend complex ideas and recommendation to various level in the organisation 

• Collaborate with all team members to problem solve and create solutions 

• Be an advocate and champion of the ClarusONE data and information assets 

• Recommend process changes to achieve minimal error rates. Track errors and improve process efficiencies 

(The above statements describe the general nature and level of work being performed in this job. They are not intended to be an exhaustive list of all duties.) 

Requirements: 

Education/Experience 

• Bachelor’s degree level or above 

• 3+ years’ experience in a data centric function 

• Experience in the healthcare field or similar highly regulated environment (sales, purchasing or distribution) preferred, though not required. 

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 

• 3 years experience in a data-centric function 

• Willingness to develop new technical skills and become an SME for new technologies adopted by the business  

• Enthusiasm for the data analytics landscape and continued focus on how the market is accelerating