Senior Consultant - Data Engineering

Job Title: Senior Consultant - Data Engineering

Career Level: D3

Introduction to role

Are you ready to make a difference in the world of data engineering? Join our Operations IT team, where we support the Global Operations organization in redefining patient outcomes through innovative data solutions. We partner with various capability areas, including Pharmaceutical Technology Development, Manufacturing, Quality Control, and more. Our mission is to redefine our ability to develop life-changing medicines by harnessing the power of data, analytics, AI, and machine learning. As part of the Data Analytics and AI (DA&AI) organization, you'll deliver innovative Data Analytics and AI solutions that empower our business to perform at its peak. Are you excited to combine powerful science with leading digital technology platforms and data?

Accountabilities

• End-to-End Data & AI Product Development – Lead the data analysis and development of technical data and AI solutions, ensuring they align with business goals and sustainability initiatives.
• Work closely with product managers, architects, and delivery managers to provide technical knowledge and support the team.
• Build and optimize scalable data pipelines for ingestion, transformation, and analysis to ensure performance and reliability.
• Develop and maintain efficient ETL/ELT processes using clean, testable, and production-ready code.
• Design and manage data models that align with business requirements and support analytical use cases.
• Collaborate with multi-functional teams (software engineers, data scientists, product managers) to deliver integrated data solutions.
• Identify technical risks and ensure transparency and progress toward mitigating these risks.
• Lead, direct, and mentor technical teams while fostering a culture of teamwork, innovation, and accountability.
• Define and communicate governance frameworks specific to product development.
• Deliver components of the Service Acceptance Criteria as part of the Service Introduction deliverables.
• Ensure alignment to regulatory requirements, data security, and industry standards throughout the development lifecycle.
• Lead DevOps and DataOps teams to ensure delivery to coding standard processes, security, and performance requirements.
• Ensure data pipelines and solutions carry out to the FAIR principles to enhance data usability and sharing.

Essential Skills/Experience

• Minimum 10+ years of experience in software and data engineering solution development and delivery
• Deep technical expertise in Data Engineering, Software Engineering, and Cloud Engineering
• Solid understanding of Data architecture principles
• Solid understanding of DevOps, MLOps and DataOps practices
• Proven experience in product development and/or product management
• Ability to provide technical thought leadership in Data, Analytics, and AI domains
• Excellent communication, stakeholder management, and teamwork skills
• Strong problem-solving abilities and team-oriented attitude
• Hands-on experience with end-to-end product development and innovation
• Familiarity with Data Mesh and Data Product concepts
• Proficient in Agile ways of working and cross-functional collaboration
• Experience designing, implementing, and optimizing data pipelines using leading ETL tools
• Skilled in architecting and managing scalable, secure AWS cloud environments
• Proficient in workflow orchestration such as Apache Airflow
• Experience implementing DataOps practices using tools like DataOps.Live
• Strong expertise in data storage and management with platforms such as Snowflake
• Capable of delivering actionable insights through BI tools like Power BI
• Full-stack development experience, with backend proficiency in Node.js & Python and frontend proficiency in ReactJS or NextJS
• Experience in designing and implementing Generative AI solutions
• Hands-on implementation of AI/ML models such as Amazon SageMaker
• Proficient in programming languages including Python
• Knowledgeable in both SQL and NoSQL database technologies
• Familiar with agile methodologies and iterative development
• Experience working in large multinational or pharmaceutical environments
• Demonstrated leadership and mentoring capabilities

Desirable Skills/Experience

• Bachelor's or master's degree in a relevant field such as Health Sciences, Life Sciences, Data Management, Information Technology or equivalent experience.
• Experience working in the pharmaceuticals industry
• Certification in AWS Cloud or any data engineering or software engineering-related certification
• Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios.
• Possess working knowledge of basic prompting techniques and continuously improve these skills.
• Stay up to date with developments in AI and GenAI, applying new insights to work-related situations

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we connect across the entire business to drive impactful transformation through data-led innovations. Our diverse team thrives on collaboration, bringing together leading experts to decode complex challenges. With access to cutting-edge techniques, we empower our business to run faster and better while improving lives globally. Here, you'll find endless opportunities for growth as we shape the future of healthcare.

Ready to take on this exciting challenge? Apply now to join our dynamic team!

Date Posted

21-Jul-2025

Closing Date

24-Jul-2025

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 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 authorisation and employment eligibility verification requirements.