Senior Data Engineer (AI)

Location: Remote; candidates must be located in LATAM or Europe

Company

hirify.global is hiring for a client building an AI-enabled platform that consolidates energy-use and carbon-footprint data across complex, multi-site portfolios to support portfolio analytics and AI-driven features.

What you will do

• Architect, build, and maintain ingestion pipelines for application and analytics data.
• Design layered, well-modeled tables from raw data through analytics-ready datasets.
• Onboard varied client sources, including Databricks via Delta Sharing, and integrate them with existing services.
• Improve reliability through data-quality testing, monitoring, safe reprocessing, and schema-change handling.
• Build a documented and tested data foundation for application, analytics, and future AI use cases.
• Work with product teams to define technical criteria and translate them into data solutions.

Requirements

• 6+ years of senior-level data engineering experience, including autonomous end-to-end ownership of production pipeline design.
• Production ingestion pipelines from APIs, files, and shared-data sources, orchestrated with Airflow, Dagster, Step Functions, or similar tools.
• Hands-on production experience with Snowflake or another cloud data warehouse.
• Strong SQL and production-level Python skills.
• Experience with AWS and PostgreSQL.
• Daily use of agentic AI coding tools such as Claude Code or Cursor, plus experience scaling shared AI workflows into CI/CD.
• Ability to work with ambiguity and undocumented systems and make sound technical decisions independently.
• Strong English and clear communication with product and analytics stakeholders.

Nice to have

• Preparing data for AI/LLM use, including semantic layers, metadata, and retrieval-ready datasets.
• Hands-on experience with Terraform or other infrastructure-as-code tools.
• Experience with dbt, Databricks, or Delta Sharing.
• Background in energy, utilities, or sustainability data.

Culture & Benefits

• Remote, full-time, long-term engagement with a flexible working schedule.
• Vacation of up to 20 working days, 10 working days of sick leave, and national holidays off.
• Competitive salary with regular reviews.
• Direct cooperation with the customer in a low-bureaucracy environment.
• Challenging projects across diverse business domains and technology stacks.
• Online team-building events and communication with senior specialists.