Állás részletei
-
Cég neve
Tulip Interfaces Kft.
-
Munkavégzés helye
Budapest -
Egyéb juttatások
- Egészségpénztár
-
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
-
Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Főiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools
Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing
Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops
Define And Enforce Data Quality Standards Across Pipelines
Prototype And Iterate On A Semantic And Context Layer For Data Accessibility
Help The Team Make Sensible Calls About AI Deployment Risk Levels
Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing
Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops
Define And Enforce Data Quality Standards Across Pipelines
Prototype And Iterate On A Semantic And Context Layer For Data Accessibility
Help The Team Make Sensible Calls About AI Deployment Risk Levels
Requirements
Bachelor's Degree In A Quantitative, Technical, Or Business Field Or Equivalent Working Experience
4+ Years Of Experience In Analytics, Data Science, Or Data Engineering With Increasing Scope And Ownership
Proficiency With Agentic Coding Tools As Primary Mode Of Building, Testing, And Documenting Production Data Models
Experience Translating Business Requirements Into Structured Analytical Approaches
Strong Data Modeling Skills And Ability To Write Performant SQL Against Cloud Warehouses
SQL And Python Proficiency For Data Modeling, Pipeline Orchestration, And API Integrations
4+ Years Of Experience In Analytics, Data Science, Or Data Engineering With Increasing Scope And Ownership
Proficiency With Agentic Coding Tools As Primary Mode Of Building, Testing, And Documenting Production Data Models
Experience Translating Business Requirements Into Structured Analytical Approaches
Strong Data Modeling Skills And Ability To Write Performant SQL Against Cloud Warehouses
SQL And Python Proficiency For Data Modeling, Pipeline Orchestration, And API Integrations
Nice-to-have
Experience With Semantic Modeling Tools Such As MetricFlow, Cube, Or LookML, Experience With Data Cataloging And Metadata Platforms Such As DataHub Or Atlan, Familiarity With BI Tools Such As Tableau, Looker, Or Sigma
What we offer
Direct Impact On Product And Culture
Private Healthcare Insurance
Company Equity
Virtual Company Events And Happy Hours
Flexible Work Schedule And Unlimited Vacation Policy
Team Lunches In KFT Hub And Office Snacks
Learning & Development Benefits
HU Eyeglass Benefit
An Inclusive, Dog-Friendly Office With Diverse And Inspiring Colleagues
Private Healthcare Insurance
Company Equity
Virtual Company Events And Happy Hours
Flexible Work Schedule And Unlimited Vacation Policy
Team Lunches In KFT Hub And Office Snacks
Learning & Development Benefits
HU Eyeglass Benefit
An Inclusive, Dog-Friendly Office With Diverse And Inspiring Colleagues
Company info
Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category. A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
Állás, munka területe(i)
Álláshirdetés jelentése