Lead Analytics Engineer

FTAPI GmbH
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

Tech stack

Adaptable Database Systems
Artificial Intelligence
Data analysis
Automation of Tests
Code Review
Continuous Integration
Information Engineering
Data Infrastructure
Data Integration
Data Warehousing
Machine Learning
Raw Data
Software Engineering
Large Language Models
Snowflake
GIT

Job description

You are the strategic architect of our company-wide "single source of truth." As Lead Analytics Engineer (m/f/d) at FTAPI, you will take end-to-end responsibility for our Modern Data Stack. You transform complex raw data into high-performance "Golden Tables," act as the bridge between Finance, RevOps, and Product, and prepare our data infrastructure for future GenAI use cases., * Infrastructure Ownership: You take end-to-end responsibility for our Modern Data Stack - from data integration to the semantic layer, primarily within Snowflake

  • Single Source of Truth (SSOT): You develop and design our cross-departmental "Golden Tables." Your clear goal: Zero Metric Drift for all stakeholders
  • Vendor Management & Technical Lead: You manage external Data Engineers, provide precise technical specifications, and ensure high quality through rigorous code reviews
  • Data Democratization: You empower decentralized "Data Champions" within the business departments to independently create dashboards (e.g. in Metabase) and perform self-service data analysis
  • AI Readiness: You enhance our central data models with semantic metadata, thereby ensuring their structured and future-proof use for LLMs and AI applications
  • Collaboration: You work closely with our Product Data Scientist to create a clean data foundation for ML models and data-driven product features

Requirements

  • You have 5+ years of experience in Data Engineering, Analytics Engineering, or modern BI, including 2-3 years of hands-on experience with the Modern Data Stack (especially Snowflake)
  • You have a proven track record of leading architecture or data projects from a functional perspective, as well as managing external service providers/vendors
  • You are a "bridge builder" and have a strong intuition for translating business problems and ambiguous requirements into standardized and scalable data models
  • Strict software engineering practices (Git version control, CI/CD, automated testing, etc.) are second nature to you.
  • You speak English fluently; German language skills and relevant certifications (e.g., SnowPro Core) are considered a plus

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