Senior Data Engineer (Agentic AI)

TL;DR

Senior Data Engineer (Agentic Data Integration): Building adaptive data integrations that handle evolving, messy marketing data from external APIs, turning it into reliable, analytics-ready datasets with an accent on robustness, data quality, and scalability. Focus on designing resilient ingestion pipelines, detecting schema changes, automating intelligent workflows, and implementing AI-assisted transformations like LLM-driven processing.

Location: Office-first in Stockholm, Sweden (in-person collaboration 4 days/week). Must be already based in Stockholm with Swedish citizenship, EU/EEA citizenship, or valid Swedish work permit.

Company

hirify.global is a Marketing Intelligence platform that integrates, attributes, measures, and reports on data from over 500 marketing platforms, trusted by 3,000+ businesses including Adidas and Sony.

What you will do

• Build and maintain data integrations handling changing APIs and inconsistent sources
• Design ingestion layer transforming raw unstructured data into structured formats like Parquet
• Detect and handle schema changes, missing data, and inconsistencies in pipelines
• Improve data quality definition, measurement, and maintenance across systems
• Contribute to adaptive systems for evolving data structures
• Explore AI automation for intelligent data workflows
• Collaborate with engineers and product to evolve the data platform

Requirements

• 5+ years in data engineering with ownership of production systems
• Strong Python (Pandas, Polars) for maintainable data processing
• Hands-on with lakehouse architectures (S3, Iceberg, Spark, Trino)
• Deep knowledge of table formats (Iceberg), schema evolution, columnar formats (Parquet, Arrow)
• Experience with AI-assisted workflows and LLM-driven transformations, focusing on reliability
• Proven data pipelines for unreliable/evolving sources
• Strong system design for scalability and resilience
• Not considering interns or new graduates

Culture & Benefits

• Domain-based organization with workstreams for autonomy and reduced dependencies
• Office-first culture with 4 days/week in-person collaboration
• Transparent, collaborative environment focused on impact, iteration, and continuous improvement
• Global team across Stockholm, Boston, Hamburg, Sydney

Hiring process

• Screening Interview: Get-to-know and align expectations
• Technical Interviews: Deep dive into data engineering, system design, agentic development, and coding
• Offer