Lead Consultant - Data Engineering

Job Title: Lead Consultant Data Engineering

Career Level E

Introduction to role

Join our Operations IT team a global IT capability supporting the Global Operations organization. We partner with various Operations capability areas such as Pharmaceutical Technology Development Manufacturing & Global Engineering Quality Control Sustainability Supply Chain Logistics & Global External Sourcing & Procurement. Our work directly impacts patients by redefining our ability to develop lifechanging medicines. We are passionate about impacting lives through data analytics AI machine learning and more.

As part of the Data Analytics and AI (DA&AI) organization within Operations IT you will deliver brandnew Data Analytics and AI solutions for various Operations capability areas. Our work transforms our ability to develop lifechanging medicines empowering the business to perform at its peak. We combine powerful science with leading digital technology platforms and data.

As the Technical Lead you will drive the successful technical delivery of products/projects aligned with business goals. You will use deep technical expertise lead and coordinate across all technical workstreams (Data & Cloud Engineering Software Engineering AI and other relevant tech stacks) and work closely with relevant team members both internally and externally.

Accountabilities

• Work closely with product managers architects and delivery managers to provide technical knowledge and support the team.

• Own the technical vision of the product and collaborate with multifunctional teams to define designs that meet product objectives and success criteria.

• Compile and maintain detailed technical designs refine user Epics/user stories and ensure adherence to timelines and resource allocations.

• Identify technical risks and ensure visibility and progress toward mitigating these risks.

• Lead direct and mentor technical teams while fostering a culture of collaboration 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 developing and delivering software engineering and data engineering solutions

• Deep technical expertise in Data Engineering Software Engineering Cloud Engineering and good understanding in AI Engineering

• Strong understanding of DevOps and DataOps ways of working

• Proven expertise in product development and/or product management

• Offer technical thought leadership for Data and Analytics and AI products

• Effective communication partner management problemsolving skills and team collaboration

• Handson experience working in endtoend product development with an innovation mindset

• Knowledge of Data Mesh and Data Product concepts

• Experienced in Agile WoW

• Collaborative approach to engineering

• Data Engineering & ETL: Design implement and optimize data pipelines using industryleading ETL tools

• Cloud & DevOps: Architect and handle scalable secure cloud environments using AWS Compute Services

• Scheduling & Orchestration: Lead the orchestration of sophisticated workflows with Apache Airflow

• DataOps & Automation: Champion the adoption of DataOps principles using tools like

• Data Storage & Management: Oversee the design and management of data storage systems including Snowflake

• Business Intelligence & Reporting: Own the development of actionable insights using Power BI

• FullStack Software Development: Build and maintain endtoend software applications using NodeJS for backend development

• AI & Generative AI Services: Implement and handle AI/ML models using Amazon SageMaker

• Proficient in multiple coding languages such as Python

• Knowledge of database technologies both SQL and NoSQL

• Familiarity with agile methodologies

• Previous involvement in a large multinational company or pharmaceutical environment

• Strong leadership and mentoring skills

Desirable Skills/Experience

• Bachelors or masters 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 engineeringrelated certification

When we put unexpected teams in the same room we unleash bold thinking with the power to inspire lifechanging medicines. Inperson working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and daring world.

At AstraZeneca we are committed to making a difference beyond patients by pioneering our sustainability strategy. You will have the opportunity to be a key contributor to Zero Carbon by 2025 and carbon negative across the entire value chain by 2030. Everyone can chip in towards our collective legacy of doing good for people the environment and society.

Ready to make a significant impact Apply now!

Date Posted

Closing Date

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 industryleading 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 nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.