Use Your Power for Purpose

At Pfizer, technology drives everything we do. Pfizer's Chief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes. The Analytics Experience team, which is part of the Artificial Intelligence, Data and Analytics organization is responsible for creating a seamless experience for analytics experts to harness the potential of big data, artificial intelligence, machine learning, and interactive analytics through a unified platform across the enterprise - from scientific/clinical to commercial across all Pfizer geographies.


Your dedication and hard work will be instrumental in preparing Pfizer to achieve new milestones and make a global impact on patient care.

What You Will Achieve

Part of the Analytics Experience team are a group of Data Engineers who are responsible for creating cross-business unit re-usable data products for the enterprise. These analytical ready data products act as a foundational asset for our stakeholders and will provide the building blocks for AI and analytics products created on/with the platform.

You may have a data engineering background, a data analyst background, a software development background an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners and Pfizer stakeholders. This will require the application of emerging and traditional technologies across artificial intelligence, data and analytics use cases.

In this role, you will act as a data engineering expert for end-user facing analytics products and applications that are developed within the Analytics Experience team's portfolio. The role will require the ability to flex between technical data engineering expertise (creating ETL's from source data sets into useable analytical ready data products), and hands on working knowledge developing data product solution strategies. Your responsibilities may include:

• With collaboration, you will support the creation, development, and long-term ownership of key analytical data products.
• With collaboration, you will develop technical architecture and support diagrams as a part of the data product creation and maintenance process.
• Understand the data product lifecycle and management.
• Generate and maintain communications regarding key creations of net new data products, updates to existing data products, and archival or sunsetting of past data products.
• Document knowledge in the form of technical articles, and contributions to knowledge bases or forums within specific areas of expertise.
• Collaborate with cross functional teams of software engineers, data scientists, and analysists to maintain key technical and strategic information needed to develop a data product.
• Directly engage and communicate with key business and technical stakeholders.

Here Is What You Need (Minimum Requirements)

• BS in computer science, data science, or an engineering/quantitative field.
• At least 3 years of professional experience.
• Experience with assembling large, complex, disparate data sources into re-usable data products that meet non-functional and functional business requirements.
• Identifying, designing and implementing process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources.
• Automating data pipelines, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Some experience working with at least one type of relational database and SQL and comfort working with and reading code (SQL, python, R, etc).
• Grit when faced with technical issues - you don't rest until you understand what is happening and why things are not working.
• Strong communication skills and the ability to interface with both technical and non-technical individuals as needed.
• Excellent problem solving and analytical skills with an aptitude for learning new technologies.

Bonus Points If You Have (Preferred Requirements)

• Hands-on experience with DevOps and information tools - e.g., JIRA, Confluence, SharePoint, Yammer, etc.
• Experience with big data technologies, such as Snowflake, Spark, or Kubernetes.
• Experience with platforms such as AWS, Azure, GCP, Dataiku.
• Some knowledge of data science, artificial intelligence and/or machine learning.
• Some experience with Snowpark, Pyspark, Spark.

Work Location Assignment: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

To apply please visit our website www.pfizercareers.com and search job Sr Associate, Data Engineer id 4940472.

Please apply by sending your CV and a motivational letter in English.