Data Engineer

Join to apply for the Data Engineer role at Astellas Pharma. Are you driven to make a real difference in the lives of patients? We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact. Purpose and Scope As an Information X Data Engineer, you will play a crucial role in leading, designing, building, and maintaining our data infrastructure. Your expertise in Data engineering across multiple platforms including Azure, AWS Cloud Data Warehousing, Databricks, PySpark, SQL, Business Intelligence (Qlik), Application management and other related technologies, will enable data‑driven decision‑making and outcomes. Working within small agile teams focused on delivering value, you will build, maintain and enhance our strategic systems across the organisation. This is a fantastic global opportunity to use your proven agile delivery skills across a diverse range of initiatives, utilise your development skills, and contribute to the continuous improvement/delivery of critical IT solutions. Location and Working Environment This position is based in Mexico City and will require hybrid work – 2 days in office. At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimise the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas’ Responsible Flexibility Guidelines. Role and Responsibilities Data Pipeline Development: Design, build, and optimise data pipelines using DWH technologies, Databricks, QLIK and other platforms as required. Ensuring data quality, reliability, and scalability. Application Transition: Support the migration of internal applications to Databricks (or equivalent) based solutions and collaborate with application teams to ensure a seamless transition. Managing Continuous Improvement, Continuous Development, DevOps and RunOps activities at application, data and infra levels either on cloud or on premise. Mentorship and Leadership: Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning. Data Strategy Contribution: Contribute to the organisation’s data strategy by identifying opportunities for data‑driven insights and improvements. Participate in smaller focused mission teams to deliver value‑driven solutions aligned to our global and bold move priority initiatives and beyond. Design, develop and implement robust and scalable data analytics using modern technologies. Collaborate with cross‑functional teams and practices across the organisation including Commercial, Manufacturing, Medical, FoundationX, GrowthX and support other X (transformation) Hubs and Practices as appropriate, to understand user needs and translate them into technical solutions. Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible. Champion continuous improvement initiatives identifying opportunities to optimise performance, security and maintainability of existing data and platform architecture and other technology investments. Participate in the continuous delivery pipeline. Adhering to DevOps best practices for version control automation and deployment. Ensuring effective management of the FoundationX backlog. Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilisation. Stay up‑to‑date on the latest trends and technologies in data engineering and cloud platforms. Experience At least 5+ years demonstrable experience in Data engineering with a strong understanding of PySpark and SQL, building data pipelines and optimisation. Data engineering and integration tools (e.g., Databricks, Change Data Capture). Utilising cloud platforms (AWS, Azure, GCP). A deeper understanding/certification of AWS and Azure is considered a plus. Experience with relational and non‑relational databases. Required Qualifications Bachelor's degree in computer science, Information Technology, or related field (Master’s preferred) or equivalent experience. Any relevant cloud‑based integration certification at associate or professional level. AWS Certified DevOps Engineer (Associate or Professional) AWS Certified Developer (Associate or Professional) DataBricks Certified Engineer Qlik Sense Data Architect / Business Analyst (or similar platform) Mulesoft Certified integration architect Level 1 Microsoft Certified Azure Integration and Security Proficient in RESTful APIs AWS, CDMP, MDM, DBA, SQL, SAP, TOGAF, API, CISSP, VCP (any relevant certification) MuleSoft Understanding of MuleSoft's Anypoint Platform and its components Experience with designing and managing API‑led connectivity solutions Knowledge of integration patterns and best practices AWS Experience provisioning, operating, and managing AWS environments. Experience developing code in at least one high‑level programming language. Understanding of modern development and operations processes and methodologies. Ability to automate the deployment and configuration of infrastructure using AWS services and tools. Experience with continuous integration and continuous delivery (CI/CD) methodologies and tools. Microsoft Azure Fundamental understanding of Microsoft Azure and AWS and the data services provided. Experience with Azure services related to computing, networking, storage, and security. Knowledge of general IT security principles and best practices. Understanding of cloud integration patterns and Azure integration services such as Logic Apps, Service Bus, and API Management. Preferred Qualifications Subject Matter Expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within Life Sciences/ Pharma industry across Commercial, Manufacturing and Medical domains. Other complex and highly regulated industry experience will also be considered for e.g. healthcare, government or financial services. Data Analysis and Automation Skills: Proficient in identifying, standardising, and automating critical reporting metrics and modelling tools. Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement. Technical Proficiency: Strong coding skills in SQL, R, and/or Python, coupled with expertise in machine learning techniques, statistical analysis, and data visualization. Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery. What awaits you at Astellas Global collaboration: Become part of a connected global business of like‑minded life science leaders, all dedicated to improving patients' lives worldwide. Real‑world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day. Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare. A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions. Our Organizational Values and Behaviors Values: Innovation, Integrity and Impact sit at the heart of what we do. Behaviours: We come together as ‘One Astellas’, working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution. Seniority level Entry level Employment type Full‑time Job function Information Technology Pharmaceutical Manufacturing #J-18808-Ljbffr