Sigma Software is hiring an AI Data Engineer

Are you ready to be a change-driver in the world of data engineering? We are looking for an AI Data Engineer to lead the adoption of AI-assisted workflows within our engineering team. This role blends hands-on data engineering with the opportunity to reshape how we work — introducing agentic workflows, modern practices, and AI-driven productivity enhancements. You’ll work on building scalable data pipelines while also experimenting with AI tools, identifying opportunities to improve productivity, and helping the team transition to AI-augmented workflows. At Sigma Software, we deliver cutting-edge solutions for global customers, combining innovation with high-quality delivery. You will have strong leadership support, real space for experimentation, and the chance to influence engineering practices across the team. Job Description - Build and maintain scalable data pipelines using Spark, Databricks, and cloud platforms - Design data models for analytics, ML, and AI applications - Drive adoption of AI tools and agentic workflows within the data engineering team - Identify and implement ways to improve engineering efficiency using AI - Prototype and scale AI-assisted development practices - Act as a go-to expert for AI experimentation and knowledge sharing - Help establish best practices and contribute to an AI-focused community or guild - Build pipelines supporting ML models, LLM applications, and AI workflows - Ensure data quality, observability, and reliability - Collaborate with Product, Data Science, ML/AI, and DevOps teams Qualifications - 3+ years of commercial experience in data engineering - Strong proficiency in SQL and Python (development and optimization) - Hands-on experience with Spark/PySpark (Databricks is a plus) - Experience with cloud data platforms (Azure preferred: ADF, Synapse, ADLS, Event Hub) - Solid understanding of ETL/ELT, data modeling, and data warehousing - Experience with orchestration tools (Airflow, ADF) - Understanding of reliability, performance, and production-grade systems - Hands-on experience using AI coding tools (Copilot, Cursor, Claude Code, etc.) in real workflows - Experience delivering at least one project with AI-assisted development - Ability to structure tasks for AI tools and critically validate their output - Upper Intermediate level of English for effective communication WILL BE A PLUS - Experience configuring AI development environments (agents, integrations, workflows) - Familiarity with LLMs, embeddings, and RAG architectures - Experience with vector databases (pgvector, FAISS, etc.) - Familiarity with AI/agent frameworks (LangChain, LlamaIndex, etc.) - Experience with dbt, Kafka, BI tools - Data quality tooling (Great Expectations, Soda, etc.) - Multi-cloud experience (AWS/GCP) - Interest in advanced topics (evaluation, reranking, drift detection, synthetic data) - Contributions to AI/data tooling or open source Additional Information PERSONAL PROFILE - Proactive and ownership-driven - Strong problem-solving and critical thinking skills - Comfortable working in evolving environments with emerging tools - Collaborative and able to influence others - Genuinely interested in the intersection of data engineering and AI