InPost

Staff Data Engineer - Fintech Engineering (m/f/n)

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SeniorHybryda·WarszawaFull-time

#458625·Dodano miesiąc temu·0

Źródło: InPost

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Tech Stack / Keywords

Spark Databricks SQL Python KafkaStructured StreamingDBTLLMAI

Firma i stanowisko

Be the Architect the whole data platform is built around. This role is part of a scale-up inside InPost with AI integration and works closely with the Head of Data Engineering, Head of ML, and the InPost executive team.

Wymagania

Minimum 8 years experience in data engineering at scale.
Minimum 5 years experience with Spark/Databricks or equivalent lakehouse architecture.
Expert in SQL, data modeling, and Python (7+ years).
Experienced with agentic coding tools and loop engineering (3+ years): context and tool design, evals, guardrails.
Strong knowledge of data quality, observability, lineage, and GDPR-aware governance.
Curious and deeply knowledgeable about advanced agentic harness, loop, and graph engineering, including LLM behavior and trade-offs.
Staff-level engineer who sets standards through influence without formal authority.
Fluent in English (B2+).

Nice to have:

Feature-store or ML data serving in production.
Experience with payments, fintech, or lending data.
Experience with streaming (Kafka/Structured Streaming) and CDC.
Experience with DBT governance.
Awareness of CCD2/DORA practices.

Obowiązki

Design and own the feature-store architecture supporting credit decisioning.
Ensure schema, point-in-time correctness, and freshness SLAs that are reliable and cost-effective.
Provide reference implementations setting pipeline patterns, modeling standards, and lineage approaches.
Lead complex, high-risk data initiatives including cross-domain feature reuse across regulated entities.
Design the agent loop (context, tools, evals, guardrails) for reliable, observable, and cost-controlled agentic engineering.
Own architecture and inner workings of agentic harnesses and loop/graph agent workflows bound to the feature store.
Set reference patterns for feature engineering, point-in-time validation, drift, and data-quality observability.

Benefity

Architectural authority from day one to set standards.
Greenfield, high-stakes projects with lasting design decisions.
Modern technology stack and a lean, AI-native team.
Hybrid work mode, ideally one day per week at Warsaw or Kraków office.
Employment offered on a B2B contract.

InPost

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