Job description
Company Description
👋🏼 We’re Nagarro.
We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!
By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
Job Description
Department: IT / Smart Factory Projects
Job purpose: To bridge the gap between manufacturing business lines and IT development teams. The role involves analyzing discrete production processes (assembly, machining, logistics) to deliver data-driven decision tools and software solutions in an Agile framework.
Responsibilities:
- Analyze and Map discrete manufacturing value streams, identifying bottlenecks in material flow, WIP (Work in Progress) tracking, and station changeovers.
- Translate complex manufacturing requirements into clear User Stories and Functional Specifications for developers (e.g., “As a line operator, I want to scan a part serial number to retrieve its routing”).
- Design analytical dashboards using Python and MySQL to monitor discrete KPIs such as Shift Output, Scrap Rates, and First Pass Yield (FPY).
- Facilitate Agile ceremonies (Sprints) with a focus on delivering incremental value to the shop floor, ensuring software updates do not disrupt production shifts.
- Validate solutions through acceptance testing directly on the production floor, ensuring usability for operators handling discrete units.
Decision Making & Authority:
- Prioritize the product backlog based on the ROI for the manufacturing plant (e.g., prioritizing features that reduce line stoppages).
- Determine the “Definition of Done” for software features related to critical production steps.
Qualifications
Requirements & Skills:
- Strong knowledge of Discrete Manufacturing processes (BOM tracking, serialized production, Kanban, Just-in-Time).
- Certified in Agile/Scrum with experience applying it in an industrial context.
- Proficiency in Python (Pandas for data analysis) and SQL.
- Ability to model complex discrete flows and identify optimization opportunities (“Design Thinking”)
