Job Title - Senior Consultant - Data Engineer
Career Level - D1
Introduction to role
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development, and commercialization of prescription medicines for some of the world's most serious diseases. Operating in over 100 countries and headquartered in the United Kingdom, we are more than one of the world's leading pharmaceutical companies. At AstraZeneca, we foster a unique workplace culture that encourages innovation and collaboration. Employees are empowered to express diverse perspectives and are made to feel valued, energized, and rewarded for their ideas and creativity.
Our Commercial IT Data Analytics & AI (DAAI) team is seeking a Senior Data Engineer for the Looking Glass project. The ideal candidate will possess strong skills in Databricks, PySpark, and the AWS suite of applications. This role involves building fully automated reusable data pipelines, maintaining complex Data Orchestration systems, and collaborating with colleagues across IT and Business Data teams to provide tailored solutions.
Accountabilities
- Maintain deep working knowledge of data platforms/data products and infrastructure aligned with commercial IT.
- Build, test, deploy, and maintain data pipelines.
- Provide technical expertise to peers and 3rd party development suppliers to ensure consistency with AZ IT and Commercial IT standards.
- Work with platform delivery resources to validate business and functional requirements.
- Evaluate new technologies/application features and recommend technology and business strategic roadmaps.
- Demonstrate expert understanding of AstraZeneca’s data product application development processes.
- Mentor junior staff members through technical training sessions and project reviews.
- Serve as an internal consultant for IT and business partners across regions and business areas (Commercial, Medical).
- Partner with Platform Success Leads on continuous improvement opportunities within platform and product level backlogs.
- Identify new hardware/software technologies to fit specialized business needs.
- Identify issues with current processes and propose changes to enhance IT effectiveness.
Essential Skills/Experience
- Bachelor’s degree or equivalent in Computer Engineering, Computer Science, or a related field
- Prior experience in an Information Services/Information Technology environment with good business acumen
- Proven experience of managing relationships with 3rd party suppliers
- Minimum 3-5 years of progressively responsible experience in the position offered, as a Data Analyst or related
- Minimum 3-5 years of progressively responsible experience with ETL experience building complex data models/pipelines/products
- Strong data engineering skills with AWS cloud platform
- Experienced in Agile Development techniques and Methodologies
- 3-5 years of progressively responsible experience working with Databricks, Workflows, and Apache Airflow
- Experienced with building AWS or Azure cloud-based data pipeline
- 3-5 years of progressively responsible experience with Python, Spark
- Expertise in Continuous Integration and Deployment methods delivered as part of an agile team
- Evidence of designing, shaping, and implementing innovative solutions and driving any changes
- Ability to interpret and communicate technical information into business language
- A broad understanding of cloud architecture
- Strong communication and interpersonal skills
- Ability to work within both Agile and Waterfall development methodologies
- Proven experience of managing and coaching/mentoring junior engineers
- Proven experience of developing and managing relationships with 3rd party suppliers
- Strong written and verbal communications skills
Desirable Skills/Experience
- Experience working within a quality and compliance environment and application of policies, procedures, and guidelines
- Customer Experience
- Prior significant experience working in Pharmaceutical or Healthcare industry IT environment
- Experience working with IQVIA Claims, National and subnational sales data
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, our work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining cutting-edge science with leading digital technology platforms and data. Join us at a crucial stage of our journey in becoming a digital and data-led enterprise. Make the impossible possible by building partnerships and ecosystems, creating new ways of working, and driving scale and speed to deliver exponential growth.
Ready to make a difference? 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 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.