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Senior Data Engineer

NFQ Technologies

Remote

PLN 120,000 - 180,000

Full time

Yesterday
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Job summary

A technology firm in Poland seeks a Senior Data Engineer to analyze processes and design data architectures for AI-driven decision-making. This role emphasizes building robust data pipelines using Python and cloud services. The ideal candidate has expertise in data engineering tools and practices. The company offers competitive salary, flexible working hours, and various employee benefits, including health insurance and unlimited work-from-home policy.

Benefits

Health insurance
Yearly training budget
Flexible working hours
Unlimited WFH policy
Extra vacation days
Bonus for referrals
WFA possibilities
Office perks and team activities

Qualifications

  • Experience with Python, pandas, and PySpark.
  • Familiarity with AWS, GCP, and Azure platforms.
  • Strong English communication skills.

Responsibilities

  • Analyze and optimize business processes with stakeholders.
  • Design scalable data architectures for Generative AI systems.
  • Engineer ETL/ELT pipelines supporting batch and streaming data.
  • Architect solutions using semantic search for LLMs.
  • Build predictive models and AI-driven insights platforms.
  • Implement data quality and governance frameworks.
  • Lead technical discovery sessions with clients.
  • Mentor team members on data engineering best practices.

Skills

Python
pandas
PySpark
AWS
GCP
Azure
Airflow
Kafka
Spark
Redshift
Snowflake
AI
LLM
RAG Tools
Job description
Senior Data Engineer @ NFQ Technologies

Krakow, Lesser Poland Voivodeship, Polska

Benefits
  • A working culture that is high performing, ambitious, collaborative and fun
  • Health insurance and a yearly training budget (local and international conferences, language courses), employee-led workshops
  • Flexible working hours
  • Unlimited WFH (work from home) policy
  • Extra vacation days: 2 after working at NFQ for two years and 4 after four years on our team
  • Bonus for referrals
  • For those who dream of traveling: WFA (work from anywhere) possibilities in NFQ - approved countries
  • Office perks and team activities
Salary

17 215 - 27 540 PLN + VAT (B2B)

14 270 - 22 200 PLN gross (Permanent)

Responsibilities

Analyze and optimize business processes by collaborating with stakeholders to uncover inefficiencies and define data requirements for automation. Design scalable, modular data architectures that integrate with Generative AI and Agentic AI systems to support real-time decision-making. Engineer robust ETL/ELT pipelines using Python, cloud-native services, and orchestration tools, supporting both batch and streaming data needs. Architect RAG and vector database solutions using semantic search to enable LLMs to retrieve curated, context-rich business data. Build intelligent data products, from predictive models and decision engines to AI-driven insights platforms. Implement data quality, validation, and governance frameworks to ensure data integrity, lineage, and compliance across systems. Lead technical discovery sessions with clients to transform complex business challenges into AI and data-driven opportunities. Mentor team members on best practices in data engineering, AI integration, and modern cloud architectures.

Requirements
  • Python
  • pandas
  • PySpark
  • AWS
  • GCP
  • Azure
  • Airflow
  • Kafka
  • Spark
  • Redshift
  • Snowflake
  • AI
  • LLM
  • RAG Tools
  • Fluency in English, both written and spoken
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