InPost

Head of Data Engineering & Analytics - Fintech Engineering (M/F/N)

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C-Level / ManagerHybryda·WarszawaFull-time

#456593·Dodano 23 dni temu·6

Źródło: InPost

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Tech Stack / Keywords

Databrickslakehousefeature storeAIdata qualityobservabilitylineageCDC

Firma i stanowisko

InPost is building a scale-up inside its fintech branch, InPost Pay, focused on data and AI integration. The company is creating a data foundation crucial for financial decision-making, supporting credit, decisioning, and data products within a logistics and supply chain context.

Wymagania

7+ years of experience as a Data Engineer and/or Architect.
3+ years leading data engineering or analytics engineering teams.
Strong leadership and passion for building data systems.
Hands-on technical expertise across all layers from ingestion to serving, particularly with AI.
Proven experience with lakehouse and feature-store architecture at functional scale.
Proficiency in data quality, observability, and lineage frameworks within multi-team environments.
Experience managing staff, senior, and mid-level engineers, including budget and roadmap planning.
Experience building agentic systems in production.
Fluent in English (minimum B2).

Nice to have:

Knowledge of fintech regulations such as CCD2, PSD2, and DORA.
Experience with credit-risk or underwriting data.
Familiarity with streaming or Change Data Capture (CDC).
Experience scaling data functions during rapid growth.
Vendor negotiation experience.

Obowiązki

Lead the Data Engineering & Analytics team, including hiring, coaching, and performance management.
Direct pipeline and feature-store architecture for all data products supporting credit and decisioning.
Co-author the platform roadmap alongside the Director of Data & AI and the Data Product Lead.
Establish AI-first engineering standards across the team.
Ensure data platform guarantees point-in-time correctness, freshness, and full lineage with data quality monitoring.
Oversee agent-first pipelines with guardrails, evaluations, observability, and control of cost and latency.
Maintain GDPR-aware governance that is audit-ready and fast to ship.
Plan budget, tooling expenditure, and headcount with a focus on monetary value creation and protection.

Benefity

Seat at the leadership table on a core leadership team.
Opportunity to build greenfield architecture and set team standards.
Work with a modern stack, including a Databricks lakehouse from day one.
Engage in a lean, AI-native organization moving at real pace.
Contract type offered: B2B contract.

InPost

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