Data Engineer for Efficient Data Solutions Tét

Data Engineer for Efficient Data Solutions
Tét
Tét, Gyor-Moson-Sopron, HU

Job Title: Data Engineer for Efficient Data Solutions

About the Role

The global CMC (Chemistry Manufacturing and Control) function is responsible for process development activities in R&D, designing appropriate control strategies to deliver processes of optimum product quality, supplying materials for clinical trials, and ensuring robust transfer of the process to our commercial organization.

The CMC-Data Science team supports all CMC functions regarding data analytics, from statistical methodologies to machine learning and process modeling.

The CMC organization is undergoing a substantial Digital Transformation, which is transforming our experimental workflow. The digitalization of lab activities provides automated access to experimental data, contextualization, and centralization of data accessible to scientists across all CMC sites and functions.

As experimental data becomes readily available, the data consumption strategy takes a central role in the department, with a strong focus on data preparation, data flow, and ETL, feeding applications developed in-house and commercial software used across CMC for data visualization, data modeling, and advanced data analytics.

Main Responsibilities:

• Create data flows to extract and prepare experimental data to be ready for consumption by scientists and data scientists across CMC.
• Manage the set of data flows for all major functions across CMC, ensuring expected experiment data is up-to-date and ready for consumption by in-house applications, dashboards, and commercial software.
• Support data extraction and data flow from development, deployment, and maintenance.
• Define test strategy, test cases via test scripts, and test executions.
• Automate execution of tests 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 (SSDP) systems, such as Dataiku.
• Act as an 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 (or equivalent experience).
• 5+ years of Data engineering and design experience with large-scale business applications in a fast-paced iterative development environment.
• Good knowledge of Lean & Agile practices.
• Experience in working in an AWS ecosystem.
• Experience with self-serve data preparation systems such as Dataiku.
• Experience in Data Engineering & Data Integration (ETL, API, . . . ).
• Experience in bash scripting, Python, and SQL.
• Knowledge in GxP computerized systems would be a plus.
• Proactivity, autonomy, openness, and responsiveness to feedback.
• Attitude towards continuous growth and improvement.
• Desire to work in a fast-paced, constantly evolving environment.
• Fluent English.

Why Choose Us?

• Exposure to training and certification pathways for technical and functional skills from AWS, Snowflake, Informatica, and others.
• An international work environment where you can develop your talent and realize ideas and innovations within a competent team.

Pursue Progress. Discover Extraordinary.

Progress doesn't happen without people - people from different backgrounds, locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas, and exploring all the opportunities we have to offer. Let's pursue Progress. And let's discover Extraordinary together.

We provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.