Core Data Engineer (AI)

Location: Remote, with consistent working hours from 5:00 am to 2:00 pm CEST; candidates should be in a timezone where these are normal daytime hours, roughly GMT+4 to GMT+8.

Company

hirify.global operates a global, data-driven business supported by an analytical platform and Business Intelligence function.

What you will do

• Monitor overnight data processing, resolve failures, manage backfills and dependencies, and hand over a healthy platform to the European team.
• Operate Airflow DAGs and Python jobs across Windows and Linux virtual machines.
• Investigate data quality issues and recurring failures in an on-premises Microsoft SQL Server environment, including linked servers, OPENQUERY, and PolyBase.
• Model new source domains and build warehouse data models for analysts.
• Implement automated quality gates for freshness, volume, referential integrity, and business rules.
• Tune SQL queries, stored procedures, indexes, and execution plans while improving alerting, logging, runbooks, and automation.

Requirements

• 3+ years of production core data engineering experience.
• Advanced Microsoft SQL Server and T-SQL skills, including indexing, execution plans, query tuning, partitioning, linked servers, OPENQUERY, and PolyBase.
• Strong Python and production Airflow experience, including scheduling, retries, backfills, dependencies, and debugging.
• Experience with AI-assisted engineering tools such as Claude Code, MCP servers, or comparable LLM workflows, with rigorous validation of generated code and data.
• Working knowledge of Git, GitLab, branching, merge requests, code review, and CI/CD; ability to debug Windows and Linux VMs and use Azure or AWS.
• Clear English communication and availability for the 5:00 am–2:00 pm CEST schedule are required.

Nice to have

• Microsoft Fabric experience with Lakehouse, Warehouse, Data Factory, or OneLake.
• Experience building MCP servers or internal LLM tooling.
• Power BI or another BI consumption-layer tool.
• Experience in fast-growing B2C or subscription businesses.

Culture & Benefits

• Remote-first collaboration across a global team.
• EU meet-ups and an annual company summer getaway.
• Predictable working hours designed around the 5:00 am–2:00 pm CEST schedule.
• Significant ownership of the operational data platform.
• Production use of Claude Code, MCP servers, and LLM tooling.
• Close collaboration with BI, analytics, and data-owning teams.