AI Data Engineer

Job description

Company Description 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