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Job Title: Associate Data Engineer GCL : C3 Introduction to role: Are you ready to keep mission-critical data flowing at global scale and turn incidents into improvements that boost reliability As an Associate Data Engineer, you will run and enhance the cloud pipelines that power decisions across 85+ markets, ensuring timely, high-quality data reaches the people who need it most. You will join a high-performing, digitally savvy team that partners across the enterprise to drive speed and precision. Your focus on automation, monitoring, and rapid incident response will translate into trusted data and smoother releasesaccelerating how we deliver life-changing medicines. Can you picture yourself orchestrating robust pipelines that help colleagues move faster with confidence Accountabilities: Pipeline Operations: Implement and monitor end-to-end data pipelines and ETL jobs across multiple stages to ensure on-time, high-quality delivery at scale. Data Transformation: Maintain and modify Python (Pandas, PySpark) scripts in line with evolving business needs to improve data quality and performance. Cloud Data Management: Manage data storage and protected data exchanges across AWS S3, Redshift, and EMR, keeping data flows accurate and compliant. API Orchestration: Trigger and validate jobs using Postman and other API interfaces to keep schedules on track and detect issues early. Data Flow Governance: Track inbound and outbound files, log exceptions, and maintain observability to prevent and detect data breaks. Incident Response and Root Cause Analysis: Investigate and remediate pipeline failures or delays, implement durable fixes, and drive automation that reduces repeat incidents. Teamwork and Collaborator Management: Work closely with data providers, data custodians, and DevOps teams to assure pipeline health and data accuracy across global collaborators. Documentation and Versioning: Keep pipeline documentation, job schedules, and technical configurations up to date; support code enhancements and environment updates. Quality Control: Participate in data quality procedures with Data Stewards to validate releases and safeguard trust in data products. Continuous Improvement: Identify and implement opportunities to standardize, simplify, and automate operations, increasing reliability and throughput over time. Essential Skills/Experience: Python (PyCharm, Pandas, PySpark) for maintaining ETL scripts and automation routines Postman for testing and triggering API-based job executions SQL proficiency using tools such as DBeaver to query and validate relational data AWS services proficiency across Redshift, S3, and EMR for processing and storage WinSCP or equivalent tools for secure file transfers Proactive, structured approach to monitoring and troubleshooting Strong programming and analytical problem-solving abilities Excellent documentation and organizational skills Ability to work independently and coordinate across functional teams Desirable Skills/Experience: Familiarity with Git and version control systems 58 years of experience in data engineering, production support, or data operations Background handling large-scale data workflows in cloud environments Experience working in pharmaceutical or healthcare data ecosystems Consistent track record resolving performance bottlenecks and job failures Familiarity with DevOps principles and agile ways of working Why AstraZeneca: Here, data engineering fuels real-world impact. Youll work with modern cloud platforms and digital tools, side by side with unexpected combinations of expertsengineers, data stewards, and market teams in the same roomturning bold ideas into operational reality. We move with urgency and clarity, blending imagination with rigor to strengthen how the business runs today while preparing for tomorrow. Your contribution will help colleagues across the globe focus on what matters most, translating into faster, smarter decisions that ultimately benefit patients. We value patience alongside ambition, and we back curiosity with the support and autonomy needed to deliver significant results. Call to Action:If youre ready to build resilient workflows that drive faster decisions and tangible patient impact, step forward and build what reliable data can make possible! Date Posted 12-Aug-2026 Closing Date 27-Aug-2026 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 .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.