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Sigma Software Group logo
Sigma Software Group

We support enterprises, product houses, and startups with custom software solutions development and IT consulting.

AI Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2002H1B No SponsorCompany SiteLinkedIn

Location

Poland

Posted

64 days ago

Salary

0

Seniority

Senior

Job Description

AI Data Engineer

Sigma Software Group

• 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

Job 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

Benefits

  • Employees can work remotely

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