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HomeCompaniesFtapiLead Analytics Engineer (f/m/d) - Modern Data Stack & AI Readiness

Lead Analytics Engineer (f/m/d) - Modern Data Stack & AI Readiness

Ftapi · München · Remote · Active · Personio

Job facts

FieldValue
CompanyFtapi
TitleLead Analytics Engineer (f/m/d) - Modern Data Stack & AI Readiness
Normalized title-
Department / teamEngineering / Festangestellte
LocationMünchen
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2026-04-28 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Ftapi.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFtapi
Source96e94dc9-3449-4c5d-855c-43a15c059252
ATS providerPersonio

Description

Your tasks 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 Your profile 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 What we offer Collaborative Environment:  Join a team of around 140 colleagues who will welcome you with open arms, support you, and make work genuinely enjoyable Comprehensive Onboarding & Modern Equipment:  On your first day, you’ll receive an onboarding package including modern hardware such as a headset, monitor, and more. If you’re a developer, you can choose the hardware you prefer to work with. During your first weeks, you’ll be paired with a buddy and go through a structured onboarding process Sports or Shopping:  Through EGYM Wellpass, you can access a wide range of sports and wellness offerings across Germany. Prefer home workouts or shopping instead? No problem — choose a voucher of your choice for €50 per month Job Bike or Germany Ticket:  Choose whether you’d like us to subsidize your Job Bike or your Germany Ticket. If you choose the Germany Ticket, you’ll only pay an additional €23 yourself. Best of all: you can still sign a Job Bike contract even without the subsidy Boost Your (Mental) Wellbeing with Nilo Health:  Book 1:1 coaching sessions with leading psychologists or access countless workshops and round tables on a variety of personal and professional topics through Nilo Health Take Time to Recharge with 30 Vacation Days:  Enjoy 30 days of annual leave to relax, recharge, and come back ready to achieve great things together with us Flexible Remote Work:  We love seeing you in the office, where you’ll find plenty of snacks, perks, and a great atmosphere for collaboration. In most teams, remote work is fully flexible; in some teams, it is possible by arrangement Relocating?:  Moving for your new role with us? We’ll support your relocation with up to €2,000 to help make your start as smooth as possible Professional Development:  FTAPI is growing — and we want you to grow with us. That’s why we offer various learning opportunities and budgets to support your personal and professional development Great Food & Snacks:  No time for breakfast in the morning? We’ve got you covered. At FTAPI, you’ll find a huge selection of cereals and fresh fruit. When the weather is nice, we love hosting BBQs on our rooftop terrace, and if you hit an afternoon slump, our kitchen is always stocked with snacks Regular Team & Company Events:  Whether it’s our summer party, Oktoberfest, Christmas party, or rooftop BBQs — there’s always something happening at FTAPI

Full job record

Job ID2c92d1d7e06b0c02762ef88aaed3b2c066c7bfd3
Org IDfee92b7b-0431-4ab1-8de8-35c2b48b9227
Source ID96e94dc9-3449-4c5d-855c-43a15c059252
Board ID96e94dc9-3449-4c5d-855c-43a15c059252
Providerpersonio
Provider Job Key2616945
TitleLead Analytics Engineer (f/m/d) - Modern Data Stack & AI Readiness
Normalized Title
Statusactive
Activeyes
Location TextMünchen
DepartmentEngineering
TeamFestangestellte
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryMünchen
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://ftapi.jobs.personio.com/job/2616945?language=en
Apply URLhttps://ftapi.jobs.personio.com/job/2616945?language=en
First Seen At2026-05-30 05:58:23Z
Last Seen At2026-06-06 07:46:31Z
Last Checked At2026-06-06 07:46:31Z
Last Changed At2026-05-30 05:58:23Z
Inactive At
Source Posted At2026-04-28 12:57:19Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=ftapi.com/date=2026-06-06/2026-06-06T07-46-30-470Z-ed0ed6e9b06c807181c94ef5f5a2eb343378929df4060268fc56fbdb8a4625af.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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  "office": "München",
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    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Festangestellte"
}
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