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Director, Data Automation
AstraZeneca
Cambridge, GBR
Full-time
Director · 8+ years experience
Onsite
Discovered 4 days ago
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Key Skills for This Role
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Full Job Posting
Experience
- 8+ years of experience in data engineering, data platform development, or related disciplines.
- 2+ years leading technical teams and delivering complex data initiatives.
- Proven experience delivering enterprise-scale data platforms and automated data solutions.
- Strong hands-on experience with Python and SQL.
- Experience designing and building data pipelines and ETL/ELT processes.
- Knowledge of orchestration frameworks (e.g., Airflow, Data Factory, Prefect).
- Experience with Spark or distributed data processing technologies.
- Experience with Spark, Snowflake, Databricks or distributed data processing technologies.
- Understanding of data modelling, metadata, lineage, and data quality frameworks.
- Familiarity with DevOps practices, CI/CD, Git, automated testing, and monitoring.
- Experience with both structured and unstructured data.
- Leadership Competencies
- Strategic thinking and problem solving.
- People leadership and coaching.
- Strong stakeholder engagement.
- Delivery and execution focus.
- Continuous improvement mindset.
- Ability to influence across cross-functional teams.
- Strong communication and collaboration skills.
- Background in regulated industries and audit-ready data controls.
- Experience implementing self-service data platforms and data product operating models.
- Exposure to streaming data, event-driven architectures and real-time automation.
- Experience partnering with data science and ML engineering teams to productionize models.
- Knowledge of privacy, security and compliance-by-design for sensitive data domains.
- Join a company where digital, data and science come together to improve patient lives at scale. You will have the backing to innovate with modern platforms, the freedom to experiment with AI and automation, and the chance to bring unexpected teams into the same room to unleash bold thinking. Here, your work sets direction early in major initiatives, accelerates how our colleagues operate every day and shapes decisions that ripple across the enterprise—all while valuing kindness alongside ambition and ensuring you have the support to grow.
- Step into a role where your leadership in data automation will create trusted, reusable data assets and unlock new possibilities for patients and the business—seize this opportunity to lead the next leap forward!
- #EAI
- Date Posted
- 21-okt.-2026
- Closing Date
- 28-okt.-2026
- Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Technical Skills
- Strong hands-on experience with Python and SQL.
- Experience designing and building data pipelines and ETL/ELT processes.
- Experience with cloud data platforms (AWS preferred).
- Knowledge of orchestration frameworks (e.g., Airflow, Data Factory, Prefect).
- Experience with Spark or distributed data processing technologies.
- Experience with Spark, Snowflake, Databricks or distributed data processing technologies.
- Understanding of data modelling, metadata, lineage, and data quality frameworks.
- Familiarity with DevOps practices, CI/CD, Git, automated testing, and monitoring.
- Experience with both structured and unstructured data.
- Leadership Competencies
- Strategic thinking and problem solving.
- People leadership and coaching.
- Strong stakeholder engagement.
- Delivery and execution focus.
- Continuous improvement mindset.
- Ability to influence across cross-functional teams.
- Strong communication and collaboration skills.
- Desirable Skills/Experience:
- Background in regulated industries and audit-ready data controls.
- Experience implementing self-service data platforms and data product operating models.
- Exposure to streaming data, event-driven architectures and real-time automation.
- Experience partnering with data science and ML engineering teams to productionize models.
- Knowledge of privacy, security and compliance-by-design for sensitive data domains.
- Why AstraZeneca:
- Join a company where digital, data and science come together to improve patient lives at scale. You will have the backing to innovate with modern platforms, the freedom to experiment with AI and automation, and the chance to bring unexpected teams into the same room to unleash bold thinking. Here, your work sets direction early in major initiatives, accelerates how our colleagues operate every day and shapes decisions that ripple across the enterprise—all while valuing kindness alongside ambition and ensuring you have the support to grow.
- Call to Action:
- Step into a role where your leadership in data automation will create trusted, reusable data assets and unlock new possibilities for patients and the business—seize this opportunity to lead the next leap forward!
- #EAI
- Date Posted
- 21-okt.-2026
- Closing Date
- 28-okt.-2026
- Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.
Preferred Qualifications
- Experience with cloud data platforms (AWS preferred).
About AstraZeneca
Pharmaceuticals & Biotech10,001+Founded 1999
AstraZeneca is a global biopharmaceutical company headquartered in Cambridge, UK, focused on the discovery, development, and commercialisation of prescription medicines in oncology, cardiovascular, renal, metabolic, respiratory, immunology, and rare diseases.
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