Valenta is seeking a highly capable Data Engineer who can independently work on modern data engineering, AI-driven automation, and client solutions. This is a hands-on role requiring someone proactive, client-facing, and comfortable working across cloud platforms, APIs, AI/LLM integrations, automation frameworks, and scalable data pipelines.
You'll support active client delivery initiatives involving Python development, Azure services, API integrations, LLM-based fuzzy matching, automation (via Cursor, Claude Code, or similar AI-assisted development tools), and orchestration of complex data workflows.
Build and maintain scalable ETL/ELT pipelines on Azure
Develop Python-based automation and data engineering solutions
Implement LLM-driven features (fuzzy matching, semantic similarity, prompt engineering)
Integrate REST APIs and external systems
Use AI-assisted development tools (Cursor, Claude Code) for rapid feature development
Handle data transformation, validation, cleansing, and optimization
Troubleshoot production issues and optimize pipelines
Participate directly in client discussions and requirement gathering
Independently manage assigned deliverables with minimal supervision
Strong hands-on Python programming experience
Strong SQL skills (query optimization, data modeling)
Azure ecosystem experience: Azure Data Factory, Azure Functions, Azure SQL, ADLS Gen2, Azure Storage
API integration experience (REST APIs, JSON handling, authentication)
ETL/ELT pipeline architecture and design
Git/version control
Production support and debugging skills
Experience with LLM APIs (OpenAI, Claude, or similar) — required
Understanding of embeddings, vector similarity, or semantic matching — required
Exposure to prompt engineering or fuzzy matching techniques — required
Experience with AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot, or similar) — required
Understanding of automation workflows and integration patterns
Excellent spoken and written English
Comfortable speaking directly with clients and internal stakeholders
Strong ownership mindset
Ability to work independently and manage timelines under pressure
4–8 years of relevant data engineering experience
Prior consulting or client-facing experience
Hands-on experience in analytics consulting or delivery
Production experience in regulated industries (finance, healthcare, etc.)
Exposure to Power BI, Tableau, or reporting ecosystems
What Success Looks Like
In this role, you'll be able to:
- Independently build, debug, and troubleshoot data pipelines in production
- Quickly understand client requirements and translate them into technical solutions
- Implement LLM-driven features (fuzzy matching, semantic similarity) with minimal guidance
- Leverage AI-assisted development tools to deliver features faster
- Communicate confidently with clients and internal stakeholders
- Deliver in fast-paced, high-priority client environments
Important Notes
- Immediate availability or short notice period preferred
- This is an urgent hiring requirement
- Strong communication and practical problem-solving are mandatory
- LLM and AI-assisted development experience is non-negotiable
