Senior Data Engineer

Senior Data Engineer

SKILLS REQUIRED FOR THE ROLE

• Experienced in Agile WoW. An Agile mentality and proactiveness are a must
• Collaborative and progressive approach to engineering. Experience using Jira/Azure Dev Ops.
• Exposure to modern development practices like Mob programming, Test driven development, or Pair programming experience.
• Some knowledge of Data Mesh and Data Product
• Some experience with modern DevOps practices: CI/CD, Github, Automation Testing, etc.
• Technologies like Snowflake, DBT, Kubernetes, Qlik Replicate, Fivetran/HVR
• Advanced knowledge of some of the following languages - Python, Scala, R, Java, and SQL

THIS IS WHAT YOU’LL DO

As a Data Analytics Engineer,  you will be working in a POD with other team members to support solution development, and take responsibility for delivery across many initiatives. You are a person with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will responsible for harvesting, storing, quality checking, transforming, and visualising Operations data, build out reusable data products, which users from Operations units can self-serve for analytics and AI/ML workflows. You will also help in providing ongoing BAU support, and ensure these data products evolve overtime to meet Operations business objectives.

The core of our development and support team are based in Chennai, with deep technical expertise based in the UK and Sweden. You will need a collaborative delivery approach to be successful. As an organisation, we are moving swiftly towards Agile ways of working, so experience in Agile methodology in cross-functional teams is a must.

It is our goal to create scalable solutions to support the development of valuable data products and address broad range of data use cases from Operations, including batch analytics based on data warehousing, data mart and Big Data stack, and emerging use cases on real-time analytics based on streaming.

Our technology is focused around the AWS stack and modern data engineering stack, such as:  Snowflake, DBT, DataKitchen, AWS Kinesis. The EL tools are Qlik Replicate and the Visulaization is through Qlik Sense and Power BI.  

YOU WILL NEED TO HAVE

• Intermediate proficiency in modern DevOps practices, including
  • Continuous Integration: Automating the process of integrating code changes frequently and consistently into a shared repository
  • Continuous Deployment: Automating the release and deployment of code
  • Infrastructure as Code (IaC): Managing and provisioning infrastructure resources
  • Configuration Management: Managing and automating the configuration of systems, applications, and services to ensure consistency and minimize manual intervention
  • Automated Testing: Implementing automated testing practices, such as unit tests, integration tests, and end-to-end tests, to ensure software quality and detect issues early in the development process.
  • Continuous Monitoring: Implementing monitoring and observability practices to gain insights into the performance, availability, and health of applications and infrastructure, enabling proactive issue detection and resolution.
  • Version Control: Using version control systems (e.g., Git) to manage and track changes to source code, configurations, and other artifacts, enabling collaboration, traceability, and easy rollbacks.
  • Collaboration and Communication: Promoting effective collaboration and communication among cross-functional teams (developers, operations, QA, etc.) to foster transparency, share knowledge, and streamline workflows.
  • Agile Methodologies: Applying agile principles and practices, such as iterative development, frequent feedback, and adaptive planning, to enhance collaboration, flexibility, and responsiveness in software development and delivery.
  • DevSecOps: Integrating security practices and considerations throughout the software development lifecycle, ensuring the security and compliance of applications and infrastructure.
• Proficiency in a wide range of modern data tools, ETL frameworks, and monitoring technologies.
• Familiarity with Data Mesh and Data Product concepts, including experience in delivering and managing data products.
• Strong data orchestration skills to effectively manage and streamline data workflows and processes.
• Knowledge of cloud-based data management services.
• Advanced SQL skills for data analysis and manipulation.
• Experience in designing data architectures, including dimensional modelling.
• Building scalable and highly available analytics solutions.
• Proficiency in data analysis techniques such as profiling, investigating, interpreting, and documenting data structures.
• Experience in managing and providing support to data solutions in BAU scenarios.
• Coaching and mentoring skills to guide and develop junior team members and foster team bonding.
• Experience in leading data teams in complex international organizations, understanding motivation, drivers, and development goals of team members.
• Advanced experience with project delivery and agile methodologies.
• Excellent communication and facilitation skills, including fluency in English.

It is also desirable for candidates to demonstrate: 

• Domain knowledge: Understanding of manufacturing, supply chain, logistic, product development life cycle. 
• Experience of visualisation technologies (we are focused on Power BI and Qlik Sense), 
• Understanding of the structure, provenance and meaning of the source data crucial to these data domains. 
• Knowledge of data privacy, GxP, GDPR regulation. 

ABOUT THE OPERATIONS IT TEAM

Operations IT is a global IT capability supporting the Global Operations organisation. We business partner with  Operations capability areas: Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics and Global External Sourcing and Procurement. We operate out of Operations hub sites including in the UK, Sweden, US, and China; and out of our Global Technology Centres in India and Mexico.

Here our work has a direct impact on patients – transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.

It’s a dynamic and challenging environment to work in – but that’s why we like it. There are countless opportunities to learn and grow, whether that’s exploring new technologies in hackathons, or transforming the roles and work of colleagues, forever. This is your chance to be part of a team that has the backing to innovate, disrupt an industry and change lives.

WHY JOIN US

Here our work has a direct impact on patients – transforming our ability to develop life-changing 

medicines. We empower the business to perform at its peak and lead a new way of working, 

combining cutting-edge science with leading digital technology platforms and data. All with 

a passion to impact lives through data, analytics, AI, machine learning and more. 

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. Focused and committed, and backed 

with the investment to succeed, we’re driving cross-company change to disrupt the entire industry. 

ABOUT ASTRAZENECA

AstraZeneca is a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies. 

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. Always committed to lifelong learning, growth and development. 

SO, WHAT NEXT? 

If you’re interested in applying, we encourage you to apply using your completed Workday profile where possible.  

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.