Data Engineer

Role Overview/Your Impact

• Design and build custom automation applications and systems from scratch, owning the full lifecycle from requirements and architecture through to deployment and maintenance.
• Develop workflow automation solutions using tools like Camunda, Python-based orchestration, or similar BPM/workflow frameworks, tailored to specific business needs.
• Build data ingestion layers and integration systems using platforms such as Apache NiFi or custom-developed pipelines, connecting multiple source systems reliably and at scale.
• Integrate AI and LLM capabilities into automation workflows to add intelligent processing, classification, or decision-making to business use cases.
• Work closely with business stakeholders to deeply understand operational problems and translate them into well-engineered software solutions.
• Take ownership of solution reliability, design for resilience, build in monitoring, ...