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
- 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
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
Skills Required
- 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
What We Do
Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 21 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters
