Summary: As a Senior Data Engineer, you will design, build, and maintain high-performance backend services and data pipelines for large language models and generative platforms. Highlights: 1. Develop and operate ETL pipelines for batch and streaming workloads 2. Design and implement robust ML data pipelines using Temporal 3. Build and maintain backend services in Go or Python REFERRAL BONUS $1000 European Union **Work type:** Office/Remote **Technical Level:** Senior **Job Category:** Software Development **Project:** N\-iX is a global software solutions and engineering services company We are a leading European AI company developing large language models and generative platforms for enterprise and government clients. Our products combine high\-performance technologies, data security, and transparency, fully aligned with European regulatory and ethical standards. As a Data Engineer, you will design, build, and maintain high\-performance backend services and data pipelines, enabling our teams to deliver scalable, reliable, and production\-ready systems. **Responsibilities:** ETL Data Pipelines (Batch \& Streaming) Develop and operate ETL pipelines to extract, transform, and load data from multiple sources Support both batch workloads (large\-scale periodic data processing) and streaming workloads (real\-time or near\-real\-time data flows) Optimize performance, scalability, and reliability of data processing pipelines Collaborate with data engineers and analysts to ensure high\-quality, clean, and accessible datasets ML Data Pipelines using Temporal Design, implement, and maintain robust ML data pipelines for training, validation, and inference of machine learning models Use Temporal or similar tools for workflow orchestration, ensuring reliability, retries, and state management across complex ML workflows Collaborate closely with ML engineers and researchers to automate and scale model pipelines Ensure pipelines are reproducible, maintainable, and observable Backend Services \& Infrastructure Design, build, and maintain backend services in Go or Python Work with PostgreSQL and object storage (S3\) to store and manage structured and unstructured data Deploy and manage services using Kubernetes (K8s) and Helm Implement best practices in CI/CD using GitHub Actions Apply system design and data modeling principles, handling concurrency and performance optimization **Requirements:** 2\-3\+ years of commercial experience in Go or/and proficient in Python (most of which in a production setup with real customers) Strong knowledge of ETL pipeline development (batch and streaming workloads) Experience with Temporal or other asynchronous workflow orchestration tools Experience with PostgreSQL and object storage (S3\) Familiarity with Kubernetes (K8s) and Helm Understanding of concurrency patterns and performance optimization in Go Experience building and operating ML data pipelines is highly desirable Strong collaboration skills and attention to detail **Nice to Have:** Experience designing APIs/SDKs Experience with complex migrations or data model changes Knowledge of TDD, DDD, or other development best practices Familiarity with resiliency patterns (retries, circuit breakers) Experience integrating backend systems with ML models Experience with OpenFGA or similar tools Familiarity with stakeholder management and brief, concise communication **Technology Stack:** **Core Backend:** Python (FastAPI), Go **Data Storage:** PostgreSQL, S3 / object storage **Workflow Orchestration:** Temporal (for ML pipelines) **ETL:** Batch and streaming pipelines **DevOps \& Infrastructure:** Kubernetes (K8s), Helm, GitHub Actions **Internal Tools:** TypeScript / Nx for CLI automation (if applicable) **We offer\*:** Flexible working format \- remote, office\-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location\-specific benefits * not applicable for freelancers