Report Engineer

Join AstraZeneca’s GBS Field Operations team as a senior Report Engineer and shape how data drives decisions across our Commercial organization. We’re looking for a seasoned data professional with7+ years of experience—ideally with exposure topharmaceutical marketing/field data—who thrives at the intersection ofETL engineeringandinsight generation. If you love building scalable pipelines, unlocking signal in messy data, and translating analytics into action, this role is for you.

Why this role

• Impact at scale: Enable data-driven decisions across multiple AZ brands, optimizing sales operations and field performance.
• Modern stack: Work withPython, SQL, PySpark,Apache Spark, andAWS Databricksin a cloud-first environment.
• End-to-end ownership: From data ingestion to dashboards and business recommendations—you’ll design, build, and influence.
• Pharma advantage: Apply or deepen experience withIQVIA Xponent & DDDand commercial data in a high-impact domain.

What you’ll do

• ETL Engineering: Design, build, and maintain robust, scalableETL pipelinesusingPython, SQL, PySparkto process large multi-source datasets into analytics and reporting environments.
• Performance & Reliability:Optimizeworkflows for speed, resilience, and cost efficiency inAWS Databricks; handle debugging, tuning, and complex data orchestration.
• Data Quality: Leaddata cleansing, validation, enrichment, audits, and reconciliations to ensure trusted downstream analytics.
• Analytics & Reporting: Create standardized and ad hocreports, dashboards, and visualizationsto surface trends, patterns, andKPIsfor sales, marketing, and field operations.
• Business Insights: Translate analysis intoclear recommendationsthat improve targeting, coverage, and effectiveness of field teams.
• Collaboration: Partner withdata engineers, business analysts, and commercial stakeholdersto define requirements and deliver reliable reporting solutions.
• Documentation & Reuse: Maintaindata flows, dictionaries, and process documentationto support scale and knowledge sharing.
• Continuous Improvement: Identify and executeprocess improvements; evaluate newquantitative methods and technologiesto advance our analytics capabilities.

What you’ll bring

• Experience: Minimum7+ yearsin data analysis/engineering with proven ETL pipeline ownership. Experience withpharma marketing/field datais highly desirable.
• Technical depth: Strongdata modeling,data warehousing, andETL architecturefundamentals; hands-onApache SparkandAWS Databricks.
• Performance mindset: Proficiency indebugging,performance tuning, and optimizing ETL for high-volume, complex data.
• Reporting capability: Ability todesign dashboardsand build reports;VBA automationexperience is a plus.
• Domain knowledge: Familiarity withIQVIA Xponent & DDD, industry guidelines, and field reporting best practices is advantageous.
• Collaboration & communication: Excellent written and verbal communication with a track record ofinfluencing business decisionsthrough insights.
• Certifications:CRT020: Databricks Certified Associate Developer for Apache Spark (Python)is a plus.
• Core strengths:Attention to detail, pattern recognition, organization, and time management; strategic and critical thinking with credibility among commercial leaders.

What success looks like

• Trusted datapowering predictable reporting and advanced analytics.
• Faster, cleaner pipelineswith measurable improvements in latency and reliability.
• Actionable insightsthat drive material business impact across AZ brands.
• Stakeholder confidencethrough clear storytelling, compelling visualizations, and decisive recommendations.

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.

AstraZeneca offers an environment where you can connect across the whole business to power each function, influencing patient outcomes and improving lives. Here, you will play an increasingly crucial role in driving disruptive transformation on our journey to becoming a digital and data-led enterprise. Collaborate with leading experts in our specialist communities, using cutting-edge techniques to turn complex information into life-changing insights. Our inclusive team brings together diverse areas and external partners to decode business needs and apply technical know-how for greater value.

If you’re a senior data engineer who can turn complex, multi-source data into clear intelligence—and you want your work to make a real-world impact—apply to join us in Guadalajara.

SUBMIT YOUR CV IN ENGLISH.

Date Posted

27-Oct-2025

Closing Date

09-Nov-2025

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.

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.