Senior Data Engineer (AI)

Location: Remote, Barcelona, Spain

Company

hirify.global is a global AI-native technology solutions provider that develops AI-powered digital products and platforms and helps clients use data and AI for business transformation.

What you will do

• Lead the end-to-end greenfield design and implementation of a scalable cloud data platform from an empty account to a production environment.
• Deploy and manage infrastructure as code with Terraform through CI/CD pipelines, including private networking, least-privilege access, and cost-conscious architecture.
• Build complex data transformation models and a unified semantic layer for consistent metrics across BI tools and AI assistants.
• Design secure incremental ingestion pipelines across HR, Atlassian, GitHub, Finance, and other systems that do not natively join.
• Implement privacy-by-design controls, including row- and column-level access policies for confidential data as code.
• Document architectural decisions and create handover documentation for ongoing platform operation.

Requirements

• 8+ years of data engineering experience, including a proven record of building at least one production-grade data platform from scratch rather than inheriting one.
• Professional communication skills in English.
• Advanced SQL, strong Python programming skills, deep expertise in dimensional modeling, and experience building resilient production pipelines.
• Hands-on AWS experience with S3, IAM, VPC, ECS/Lambda, and RDS/Aurora.
• Experience deploying infrastructure as code with Terraform.
• Strong production experience with dbt, including tests, documentation, and lineage.
• Understanding of entity resolution and security access policies implemented as code.

Nice to have

• Experience using one or more AI tools for drafting, analysis, research, or process automation, with the ability to recommend effective AI use and identify workflow improvements.
• Experience with enterprise cloud data warehouses such as Snowflake or Redshift Serverless and semantic or metrics layers such as Cube, MetricFlow, or LookML.
• Familiarity with exposing governed data to LLM agents through MCP or tool calling and evaluating AI-generated answers.
• Experience handling cross-system business domains such as Atlassian data models, GitHub engineering-flow metrics, or enterprise finance/OPEX data.

Culture & Benefits

• High-impact environment with a focus on professional development.
• Flexible and collaborative culture.
• Global opportunities and a vibrant community.
• Total rewards, with specific benefits determined by employment type and location.