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.

Responsibilities:

• 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

Requirements

• 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