Senior Data Engineer – Data Platforms for AI Initiatives

Holisticon Insight is a data-focused technology and consulting company, part of the Nexer Group. Their mission is to make companies data driven by building data platforms and data-intensive systems that solve real business problems. They work end-to-end from integrating data from multiple sources, including IoT and operational systems, to delivering analytics and AI solutions used in production. Their projects combine data engineering, cloud, and software development, including building systems that generate data such as IoT and digital platforms. They focus on clean architecture, modern tech stacks, and engineer ownership, valuing strong engineering skills, autonomy, and collaboration in small, flat-structured teams.

• 6+ years of hands-on experience in Data Engineering
• Strong expertise in Python, SQL, and Apache Spark
• Experience building and maintaining modern Data Lakehouse architectures
• Practical knowledge of orchestration and streaming tools such as Airflow and Kafka
• Experience working with relational and vector databases
• Hands-on experience building data pipelines supporting ML and GenAI workloads
• Experience processing and integrating unstructured data sources (e.g. PDFs, metadata) for AI/RAG systems
• Understanding of data governance, lineage, security, and RBAC concepts
• Experience with Docker, Kubernetes, and CI/CD practices in data environments
• Strong problem-solving and collaboration skills
• Excellent English communication skills (written and spoken)
• Located in Poland or other EU country

Nice to have:

• Experience working in supply chain, manufacturing, or other regulated industries
• Experience designing platforms supporting predictive analytics and AI transformation initiatives
• Familiarity with enterprise taxonomy and master data management concepts
• Consulting background or experience working in complex stakeholder environments

Key responsibilities:

• Design and implement data ingestion pipelines from ERP systems
• Integrate external data sources and market intelligence
• Build unified data models and taxonomies
• Develop pipelines for unstructured data (PDFs, metadata) for RAG systems
• Manage and optimize vector databases
• Implement data governance, lineage, and security (RBAC)
• Ensure data quality validation
• Optimize pipelines for secure environments

You are located in Poland or other EU country.