Agentic Analytics Engineer

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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.

Responsibilities

Build and maintain data models and pipelines primarily using AI coding tools with consistent best-practice patterns, clear documentation, and high-quality standards
Build and improve agentic coding workflows to accelerate data modeling and testing while staying in the loop on business logic, review, and company-specific edge cases
Partner with stakeholders to surface conflicting metric definitions, run alignment workshops, and establish canonical standards across domains
Define and enforce data quality standards across pipelines including unit tests grounded in sample data and lineage-aware test placement and enable domain analysts to follow the same standards
Prototype and iterate on a semantic and context layer that makes Tulip's data accessible to both analysts and AI agents including the documentation and instructions that let an LLM behave correctly against it
Help the team make sensible calls about where on the risk curve to deploy AI for internal modeling and testing, self-serve BI, and customer-facing applications

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 including shipping reusable assets that improve agentic workflows
Experience translating business requirements into structured analytical approaches, running workshops, and aligning stakeholders on canonical metric definitions
Strong data modeling skills and ability to write performant SQL against cloud warehouses with strong emphasis on data quality and automated testing
SQL and Python proficiency for data modeling, pipeline orchestration, and API integrations using broader data stack

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

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."