Senior Data Engineer (m,w,d)

Key Skills

Apache Airflow, Apache Hadoop, Apache NiFi, AWS, Cloud computing, Data Modeling, Data pipelines, Database, Design, Linux Operating system, NoSQL, Software Development, Spark Core, SQL, Unix Operating system

Job Description

Are you a data enthusiast? Do you want to support a revolution in Oncology, redefining cancer care by unlocking the power of data? Would you like to apply your technical expertise to accelerate and automate our data flow, and provide our scientists with FAIR and ready to use multimodal data in real-time? In a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you!

About AstraZeneca

At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being ambitious, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

Oncology Data Science

The Oncology Data Science – Data, Analytics, and AI Platforms (ODSP) team comprises multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites. ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our data as a true business asset, coordinating our data so that it’s accessible and easy to find, integrated, and re-usable for Humans & AI, and building the best computational tools to support scientific decision making.

What you’ll do

The Oncology Data Science Platforms Team is delivering the FAIR data foundation of clinical, molecular and biosamples data to the Oncology data consumers (scientists, bioinformaticians, data scientists etc.). In your role you’ll lead a team of data engineers building scalable data pipelines that realize a seamless multimodal data flow from A to Z across our data infrastructure in order to accelerate data science and insight generation at Oncology R&D.

Areas of Responsibilities:

• Lead a team of data engineers, including task assignment, progress tracking, and performance evaluation; drive the development of guidelines and standard processes and enable your team to build these into their day-to-day deliveries
• Design and implement data pipelines, that can extract, transform, and load data from various sources into the company's data warehouses while ensuring full data lineage trail. You will ensure that the data pipelines are reliable, scalable, and optimized for performance.
• Implement data quality and validation processes to ensure that the data is accurate, complete, and consistent; work with the data governance team to implement data standards, policies, and procedures to maintain data integrity.
• Collaborate with multi-functional teams including researchers, data scientists, business analysts, and IT professionals, to understand their data requirements and provide them with the necessary data support

Experience Needed:

• Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
• Demonstrated ability in data engineering, with expereince in a team lead role.
• Proficiency in database technologies: SQL. Familiarity with NoSQL, and Graph are a plus.
• Experience in Unix/Linux systems, HPC (High performance Computing, Cloud Computing
• Experience in data pipelines tools such as Apache Airflow, NiFi, or AWS Data Pipeline, Hadoop, Spark, etc.
• Understanding of software development, testing and quality processes, experience with testing frameworks and documentation
• Knowledge of data modeling and database design principles.
• Experience in the pharmaceutical, life sciences industry, or other regulated environments is a plus.
• Familiarity with FAIR data principles and experience in implementing them is a plus.

Desirable for the role:

• Experience in the pharmaceutical or life sciences industry is a plus.
• Familiarity with FAIR data principles and experience in implementing them is a plus
• Experience with Graph database technologies is a plus

Why AstraZeneca?

At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

So, what’s next?

Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.

Competitive salary and benefits package on offer.