Data Architect: Building Scalable Data Solutions
Senior Data Engineer: Designing Data Solutions
About the Role
The CMC (Chemistry Manufacturing and Control) function is responsible for process development activities in R&D, designing control strategies to deliver processes of optimum product quality. The CMC-Data Science team supports all CMC functions regarding data analytics, from statistical methodologies to machine learning and process modeling.
The organization is undergoing a substantial Digital Transformation, transforming experimental workflows through automated access to experimental data, contextualization, and centralization across CMC sites and functions. As experimental data becomes readily available, data consumption strategy takes center stage, with a strong focus on data preparation, flow, and ETL feeding applications developed in-house and commercial software used across CMC for visualization, modeling, and advanced analytics.
Main Responsibilities: - Create data flows to extract and prepare experimental data for consumption by scientists and data scientists across CMC.
- Manage data flows for major functions across CMC, ensuring up-to-date experiment data is ready for in-house applications, dashboards, and commercial software.
- Support data extraction and flow from development, deployment, and maintenance.
- Define test strategy, cases via test scripts, and executions.
- Automate test execution to improve efficiency.
- Complete documentation.
- Analyze and correct issues with source data, working closely with the Digital Transformation team.
- Onboard, train, and support CMC scientists/data scientists with self-serve data preparation systems like Dataiku.
- Act as expert and point of contact for scientists/data scientists using SSDP solutions across all CMC functions.
About You Key Requirements & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of Data engineering experience with large-scale business applications in fast-paced iterative development environments.
- Good knowledge of Lean & Agile practices.
- Experience working in an AWS ecosystem.
- Experience with self-serve data preparation systems like Dataiku.
- Experience in Data Engineering & Integration (ETL, API, etc. ).
- Experience in bash scripting, Python, and SQL.
- Knowledge in GxP computerized systems would be beneficial.
- Proactivity, autonomy, openness, and responsiveness to feedback.
- Attitude towards continuous growth and improvement.
- Desire to work in fast-paced, constantly evolving environments.
- Fluent English.
Why Choose This Opportunity? - Exposure to training and certification pathways for technical and functional skills from top providers.
- International work environment allowing talent development within a competent team.
Key Requirements & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of Data engineering experience with large-scale business applications in fast-paced iterative development environments.
- Good knowledge of Lean & Agile practices.
- Experience working in an AWS ecosystem.
- Experience with self-serve data preparation systems like Dataiku.
- Experience in Data Engineering & Integration (ETL, API, etc. ).
- Experience in bash scripting, Python, and SQL.
- Knowledge in GxP computerized systems would be beneficial.
- Proactivity, autonomy, openness, and responsiveness to feedback.
- Attitude towards continuous growth and improvement.
- Desire to work in fast-paced, constantly evolving environments.
- Fluent English.
Why Choose This Opportunity? - Exposure to training and certification pathways for technical and functional skills from top providers.
- International work environment allowing talent development within a competent team.
- Részletes információk az állásajánlatról
Vállalat: beBee Careers Hely: Mosonmagyaróvár
Mosonmagyaróvár, HUHozzáadva: 26. 6. 2025
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