Senior Data Engineer (Fintech)

Location: Hybrid in Warsaw or Krakow, Poland

Company

hirify.global is building a fintech scale-up inside InPost focused on AI-enabled financial products and data engineering.

What you will do

• Design, build, and operate batch and streaming data pipelines on Databricks and Spark for credit origination, underwriting, and portfolio reporting.
• Build and maintain a feature store with point-in-time correctness, freshness SLAs, reproducibility, and tracing.
• Design agentic workflows and harnesses for feature creation, freshness monitoring, and data-quality checks, including context, tools, state, evaluations, and guardrails.
• Model governed financial and behavioural datasets with ownership, lineage, access controls, and GDPR alignment.
• Implement data-quality and observability checks for freshness, completeness, distributions, and schema drift.
• Own production operations, including monitoring, incident response, root-cause analysis, and continuous improvement.

Requirements

• 5+ years of experience in data engineering, pipelines, and data modelling.
• 3+ years with Spark, Databricks, or an equivalent lakehouse, plus 5+ years with SQL, Python, and data modelling.
• 2+ years of advanced agentic coding tools and loop engineering, including context and tool design, evaluations, guardrails, and iteration.
• Experience with batch and streaming lakehouse architectures, dimensional and event-based modelling, orchestration, SQL performance tuning, and large-table partitioning.
• Working knowledge of LLMs, data lineage, cataloguing, governance, and GDPR-aware data practices.
• English proficiency at B2 or above and a university degree in Computer Science, Data Engineering, Mathematics, or a related field.

Nice to have

• Experience with feature stores, ML data serving, payments, fintech, lending, credit-risk features, or scoring pipelines.
• Streaming and CDC experience with Kafka or Structured Streaming.
• Experience with dbt or equivalent transformation frameworks.
• Cost and performance optimisation on Databricks.

Culture & Benefits

• Work in a diverse, international, and cross-functional environment with experienced specialists.
• Collaborate with senior data and ML leadership while gaining exposure to e-commerce and logistics.
• Flexible working hours and an environment focused on training and professional development.
• Opportunity to contribute to sustainability, convenient delivery, and circular-economy initiatives.
• B2B contract available.