Data Engineer at AstraZeneca

, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

27 Mar, 26

Salary

0.0

Posted On

27 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture Design, ETL Development, Data Governance, Problem-Solving, Communication, Data Modeling, Programming Languages, Databases

Industry

Pharmaceutical Manufacturing

Description

Role Overview: The Data Strategy Engineer is responsible for designing, implementing, and optimizing data solutions for commercial data (Enpire, Veeva, ZP, IQVIA) that support the company's data strategy, ensuring high quality, trusted, and accessible data for analytics and business needs. This involves collaborating across IT, analytics, and business teams to build scalable systems aligned with the organization's strategic direction. Key Responsibilities Data Architecture Design: Architect scalable, secure, and robust data platforms and pipelines aligned with business strategy and goals. Implementation & Optimization: Develop, test, and enhance data integration workflows using ETL/ELT processes in cloud or on-premise environments. Collaboration with Stakeholders: Partner with analytics, business, and IT teams to gather requirements and translate them into robust data solutions. Support commercial teams by enabling and optimizing data pipelines for evolving dashboard needs, ensuring timely, high-quality, and trustworthy data for business decision-making. Data Governance & Quality: Implement data quality, lineage, and governance frameworks to ensure compliance and reliability of data assets. Operational Excellence: Monitor, troubleshoot, and optimize the performance of data systems, advocating for best practices and standardization. Change Management: Implement data strategy initiatives, including stakeholder engagement, impact assessment, communications, user training, and support. Proactively identify adoption risks and develop mitigation strategies to facilitate smooth transitions and maximize user acceptance. Performance Measurement: Define and monitor key data-related metrics to demonstrate progress and impact against strategic objectives. Required Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. Technical Expertise: Proficient in programming languages (such as Python, Java, or Scala), data modeling, and databases (SQL, NoSQL). ETL/ELT Development: Hands-on experience designing and developing ETL/ELT processes and workflow orchestration. Data Governance: Understanding of data security, privacy, lineage, and compliance frameworks. Problem-Solving: Strong analytical and troubleshooting skills, with attention to detail. Communication: Ability to communicate technically complex concepts to non-technical stakeholders, and document designs and processes clearly. Preferred Experience Experience with data strategy initiatives or enterprise data transformation projects Understanding of pharma data (IQVIA, ZP infrared) Date Posted 24-Dec-2025 Closing Date 18-Jan-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Responsibilities

The Data Engineer is responsible for designing and optimizing data solutions that support the company's data strategy. This includes collaborating with various teams to build scalable systems and ensuring data quality and governance.