Data Engineer (m/f/x)

Passion for Innovation. Compassion for Patients.

With over 120 years of experience and more than 17,000 employees in over 20 countries, Daiichi Sankyo is dedicated to discovering, developing, and delivering new standards of care that enrich the quality of life around the world. In Europe, we focus on two areas: The goal of our Specialty Business is to protect people from cardiovascular disease, the leading cause of death in Europe, and help patients who suffer from it to enjoy every precious moment of life. In Oncology, we strive to become a global pharma innovator with competitive advantage, creating novel therapies for people with cancer. Our European headquarters are in Munich, Germany, and we have affiliates in 13 European countries and Canada.

For our headquarter in Munich we are seeking a highly qualified candidate to fill the position:

Data Engineer (m/f/x)

The Position:

Join our dynamic team and work on challenging, innovative Data and AI projects that are at the core of Daiichi Sankyo Europe digital transformation journey. At Advances Analytics we develop and cherish our culture that nurtures people who become the drivers of innovation. We are driven by our purpose to contribute to the enrichment of quality of life around the world.
As a Data Engineer, you'll work in cross-functional team to create solutions using data, machine learning, and AI. You find challenges exciting and enjoy discovering and defining problems as much as solving them. You are a cross-disciplinary team member and excited to work with and learn from other Data Engineers and Data Scientists. You are comfortable communicating across teams. You are resourceful, flexible and adaptable. Finally, you'll help bring selected products to production and scale.
At Daiichi Sankyo, we care for every heartbeat. Join us to make a difference by integrating digital excellence into our core business.

Roles and Responsibilities:

• Design and build scalable data pipelines for collecting, storing, and processing large volumes of data from a variety of sources                        
• Work with data scientists and business stakeholders to understand their data needs and develop solutions to meet those needs
• Write and maintain code in languages such as Python or SQL to extract, transform, and load data. Create data products for analytics and data scientist team members to improve their productivity
• Collaborate with data scientists and other team members to design and implement machine learning models and algorithms
• Consult & empower wider organization to implement & reinforce a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Monitor and optimize the performance of data pipelines and systems to ensure they are running efficiently                                         
• Stay up-to-date with the latest developments in data engineering and analytics, and continually seek out new ways to improve processes and technologies                                         
• Work with cross-functional teams to identify and resolve data-related issues and challenges                                        

Personal skills and professional experience:

• University or Bachelor’s degree required: Computer Science or Engineering preferred
• Min. 3 yrs experience in Software Engineering
• Experience with data engineering - ETL Pipelines, Data Lakes, Database Management, etc.
• Proficiency with Python/SQL is expected
• 2 year experience with Databricks, Snowflake or dbt is required
• Experience with Apache Spark or other distributed compute systems 
• Experience building and shipping production-grade ETL Pipelines is a plus
• Experience with workflow orchestration tools (e.g. Apache Airflow, AWS Step Functions) is a plus
• Experience building Infrastructure for machine learning pipelines
• Experience in applying extensive data quality frameworks and monitoring is a plus
• Ability to work in agile software processes
• English profficiency is expected (at least C1)

Why work with us?

Working at Daiichi Sankyo is more than just a job – it is your chance to make a difference and change patients’ lives for the better. We can only achieve this ambitious goal together. That is why we foster a culture of mutual respect and continuous learning, with a strong commitment to inclusion and diversity. Here, you will have the opportunity to grow, think boldly, and contribute your ideas. If you have a proactive mindset and passion for addressing the needs of patients, we eagerly await your application.

For more information: www.daiichi-sankyo.eu