Analytics Data Engineer

Join AstraZeneca's GBS Field Operations team as a senior Analytics Data Engineer and shape how data drives decisions across our Commercial organization.We're looking for a seasoned data professional with **7+ years of experience**—ideally with exposure to **pharmaceutical marketing/field data**—who thrives at the intersection of **ETL engineering** and **insight 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 with **Python, SQL, PySpark**, **Apache Spark**, and **AWS Databricks** in a cloud-first environment.- **End-to-end ownership**: From data ingestion to dashboards and business recommendations—you'll design, build, and influence.**What you'll do**:- **ETL Engineering**: Design, build, and maintain robust, scalable **ETL pipelines** using **Python, SQL, PySpark** to process large multi-source datasets into analytics and reporting environments.- **Performance & Reliability**:Optimize** workflows for speed, resilience, and cost efficiency in **AWS Databricks**; handle debugging, tuning, and complex data orchestration.- **Data Quality**: Lead **data cleansing, validation, enrichment**, audits, and reconciliations to ensure trusted downstream analytics.- **Analytics & Reporting**: Create standardized and ad hoc **reports, dashboards, and visualizations** to surface trends, patterns, and **KPIs** for sales, marketing, and field operations.- **Business Insights**: Translate analysis into **clear recommendations** that improve targeting, coverage, and effectiveness of field teams.- **Collaboration**: Partner with **data engineers, business analysts, and commercial stakeholders** to define requirements and deliver reliable reporting solutions.- **Documentation & Reuse**: Maintain **data flows, dictionaries, and process documentation** to support scale and knowledge sharing.- **Continuous Improvement**: Identify and execute **process improvements**; evaluate new **quantitative methods and technologies** to advance our analytics capabilities.**What you'll bring**:- **Experience**: Minimum **7+ years** in data analysis/engineering with proven ETL pipeline ownership.Experience with **pharma marketing/field data** is highly desirable.- **Technical depth**: Strong **data modeling**, **data warehousing**, and **ETL architecture** fundamentals; hands-on **Apache Spark** and **AWS Databricks**.- **Performance mindset**: Proficiency in **debugging**, **performance tuning**, and optimizing ETL for high-volume, complex data.- **Reporting capability**: Ability to **design dashboards** and build reports; **VBA automation** experience is a plus.- **Domain knowledge**: Familiarity with **IQVIA Xponent & DDD**, industry guidelines, and field reporting best practices is advantageous.- **Collaboration & communication**: Excellent written and verbal communication with a track record of **influencing business decisions** through 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 data** powering predictable reporting and advanced analytics.- **Faster, cleaner pipelines** with measurable improvements in latency and reliability.- **Actionable insights** that drive material business impact across AZ brands.- **Stakeholder confidence** through 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.**SUBMIT YOUR CV IN ENGLISH.