Role Summary

Pfizer has established a chief digital office which will lead the transformation of Pfizer into a digital powerhouse that will generate superior patient experiences that will result in better health outcomes. If you thrive in a fast-paced environment that brings together scientific, clinical, manufacturing and commercial domains together through data and analytics then join the Artificial Intelligence, Machine Learning, Advanced Analytics and Data COE. Our collection of data scientists, business analysts and engineers are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data and advanced analytics to change patient’s lives.

As a senior associate data engineer you will be part of the Enterprise Data Solutions and Engineering team charged with building and automating high quality data pipelines that power both advanced analytics/AI/ML and key business applications. You will be a member of a global team helping to progress... commercial go-to-market strategies.

Role Responsibilities
• Leverage data wrangling techniques to deliver data pipelines that Ingest and integrate data from various information sources and deliver high quality data products that drive analytics and data science applications
• Translate data needs into intro programable queries and convert Python based data wrangling code into PySpark/SQL pipelines for scalable pushdown execution
• Develop automated and self-monitoring data pipelines including automated QA/QC processes
• Conduct basic data profiling and quality checks
• Fine tune performance on datasets for visualization and other applications
• Work with stakeholders to assist with data-related technical issues and support data infrastructure needs

Qualifications
• 3 years of work experience as a data engineer for a diverse range of projects
• 2+ years working in a cloud based analytics ecosystem (AWS, Snowflake, etc)
• Experience with working with various types of data (structured / unstructured)
• Understanding of data ingestion, data warehousing, and data model concepts
• Knowledge of relational and dimensional data structures, theories, and practices
• Proficient in SQL, Python, and/or R
• Strong hands-on skills in data software engineering (e.g., Python, industrialized ETL software)
• Strong hands-on skills in containerization (e.g. AWS EKS, Kubernetes)
• Strong hands-on skills for data pipeline orchestration (e.g. Airflow)
• Understanding of data science development lifecycle (e.g CRISP)
• Demonstrated aptitude and attitude to get immersed in the resolution of technical challenges and technical advancements
• Demonstrated ability to work effectively across cultures and to connect and engage with colleagues at all levels of the organization including the shop floor and the Pfizer leadership
• Demonstrated ability to make decisions quickly; shift direction with just enough information; and operate effectively in gray areas
• Demonstrated collaborative, consultative, problem solving, prioritization skills

Basic Qualifications
• Bachelor’s degree in Computer Engineering, Computer Science, Information Systems or related discipline
• Understanding of agile project approaches and methodologies
• Highly self-motivated to deliver both independently and with strong team collaboration.
• Ability to creatively take on new challenges and work outside comfort zone.
• Strong written and oral communications along with presentation and interpersonal skills.
• Strong aptitude for learning new technologies and analytics techniques.

Preferred Qualifications
• Experience with Dataiku is a plus
• Hands on experience working in Agile teams, processes, and practices

Non-standard Work Schedule, Travel Or Environment Requirements
• 20% travel to other Pfizer locations
• Ability to work non-traditional work hours on a constant basis interacting with remote teams spanning across the different regions (eg: Europe, AfME, Asia)

Work Location Assignment: On Premise

LI#PFE

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.

Information & Business Tech
Athens Greece

Salary Criteria