Lead Engineer in Enterprise Knowledge Graph Team

Lead Engineer in Enterprise Knowledge Graph Team

Introduction to role

Join us at AstraZeneca, a science-led, pure-play pharmaceutical company, where Sustainable, FAIR (Findable, Accessible, Interoperable & Reusable) data is the lifeblood of our operations. We are seeking a Lead Engineer in our Enterprise Knowledge Graph Team. This role is critical for the delivery of the AstraZeneca corporate strategy, where Data, AI and Digital are foundational value drivers for Innovative Science. In the Enterprise Knowledge Graph Team, you will be involved with delivering Knowledge Graph and AI capabilities across the whole of AstraZeneca, from R&D through to Commercial. In addition to project delivery, you will also be involved in developing tooling capabilities that supports common patterns of standard methodology.

Accountabilities

- Lead and participate in the design, development, and deployment of knowledge graph solutions.
- Set and enforce high standards for code quality, testing, and documentation.
- Conduct comprehensive code reviews to ensure alignment to standard methodologies and maintain codebase integrity.
- Collaborate with project managers to gather technical requirements, define project scope, and create detailed technical specifications.
- Provide technical support to project managers to ensure the timely delivery of projects and alignment with business objectives.
- Assist in managing and mitigating technical risks, ensuring proactive communication and problem-solving.
- Provide technical guidance and mentorship to junior and mid-level engineers, fostering their professional growth and technical skills.
- Develop and implement training programs, code labs, and knowledge-sharing sessions.
- Stay abreast of emerging technologies and industry trends.
- Lead the evaluation and integration of new tools, frameworks, and methodologies to enhance the team’s capabilities.
- Act as a liaison between the engineering team and other partners, ensuring clear communication of technical concepts and project status.
- Promote a culture of collaboration, innovation, and continuous improvement within the team.
- Implement and maintain robust development processes, including CI/CD pipelines, automated testing, and performance monitoring.
- Ensure the scalability, reliability, and security of knowledge graph solutions.

Essential Skills/Experience

- Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field.
- 7+ years of software engineering experience, with at least 3 years in a leadership role.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Proven track record in designing and implementing large-scale, distributed systems.
- Experience with large-scale data workflows.
- Excellent problem-solving skills and a deep understanding of data structures and algorithms.
- Strong interpersonal and communication skills, with the ability to convey complex technical concepts to non-technical partners.
- Experience with Agile development methodologies and tools.

Desirable Skills/Experience

- Experience with Labelled Property Graphs (e.g., Neo4j, Amazon Neptune) and/or semantic web standards (RDF, OWL, SPARQL).
- Experience with machine learning, natural language processing, or analytics.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerisation technologies (Docker, Kubernetes).
- Contributions to open-source projects or publications in relevant fields.
- Understanding of data integration and ETL processes.
- Experience with Microservices architecture and RESTful APIs.

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 whole business to power each function to better influence patient outcomes and improve their lives. Here you will play an increasingly crucial role in driving pioneering transformation on our journey to becoming a digital and data-led enterprise. Work in harmony with leading experts in our specialist communities using ground breaking techniques. We thrive on being exposed to multiple disciplines and are dedicated to combining science with our knowledge to deliver greater value for patients every day.

Ready to make a difference? Apply now!

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.