Senior Data Engineer – Data Platforms for AI Initiatives

Aperture Cloud is a data-focused technology and consulting company, part of the Nexer Group. Our mission is simple: We make companies Data Driven. We build data platforms and data-intensive systems that solve real business problems. We work end-to-end, from integrating data from multiple sources (including IoT and operational systems), through building scalable data pipelines and semantic layers, to delivering analytics and AI solutions used in production. Our projects often combine data engineering, cloud, and software development. We don’t just process data - we also build systems that generate it, such as IoT and digital platforms, which later become part of the data ecosystem. You’ll work on real use cases – optimizing processes, enabling better decisions, and building data products used by business teams. We focus on clean architecture, modern tech stacks, and ownership of what we build. At Aperture Cloud we value strong engineering skills, autonomy, and collaboration. We keep a flat structure, small teams, and a lot of responsibility on the engineer level. Check us out! 👉 https://holisticon.pl/holisticon-insight/ We are looking for a Senior Data Engineer t o join a strategic initiative focused on building a modern Supply Chain Intelligence platform and enterprise-grade data ecosystem supporting advanced AI transformation programs. You’ll work across the full data lifecycle – from ingestion and transformation to governance and optimization – helping create reliable, secure, and high-performance data platforms used by both business and AI systems. This role requires a strong engineering mindset, hands-on experience with modern data architectures, and the ability to collaborate closely with technical and business stakeholders. 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 might be the perfect match if you possess the following competencies: 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). You are 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. By joining Aperture Cloud you will get: Life insurance Multisport card Fully remote job Private medical care Flexible working hours Amazing integration events on a regular basis Training budget (e.g. Microsoft Azure Certifications) Opportunity to impact our company culture build-up Work equipment (laptop, 2 monitors, and accessories)