As a Data Engineer at Pfizer, you'll develop and manage analytical data products and work with various stakeholders to optimize data processes and architecture.
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. Data engineers are expected to help create, drive, and implement key best practices and features for re-usable cross domain data products across the Pfizer eco-system.
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:
Here Is What You Need (Minimum Requirements)
Bonus Points If You Have (Preferred Requirements)
Please apply by sending your CV and a motivational letter in English.
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms - allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Information & Business Tech
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. Data engineers are expected to help create, drive, and implement key best practices and features for re-usable cross domain data products across the Pfizer eco-system.
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.
Please apply by sending your CV and a motivational letter in English.
Work Location Assignment: Hybrid
Purpose
Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.
Digital Transformation Strategy
One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.
Flexibility
We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let's start the conversation!
Equal Employment Opportunity
We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms - allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.
Disability Inclusion
Our mission is unleashing the power of all our people and we are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career. Your journey with Pfizer starts here!
Information & Business Tech
Top Skills
AWS
Azure
GCP
Kubernetes
Python
Snowflake
Spark
SQL
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