Data Engineer (IrisX Analytics Product, Databricks)

TL;DR

Data Engineer (IrisX Analytics Product): Building end-to-end data pipelines processing real-time IoT telemetry for construction analytics platform with an accent on Databricks stack, governance, and scalable data sharing. Focus on designing multi-tenant architectures, low-latency transformations, and AI-powered insights delivery.

Location: Hybrid in Aarhus, Aalborg, Copenhagen, or Kolding, Denmark. Remote-first but expect to join data team in Aarhus or Aalborg from time to time.

Company

hirify.global is a global IoT data platform connecting millions of construction machines to deliver real-time insights and eliminate downtime.

What you will do

• Build and maintain end-to-end data pipelines from Kafka ingestion via PySpark transformations to customer-queryable Gold-layer models using Delta Lake and Databricks SQL.
• Evaluate and adopt new Databricks features for multi-customer workspaces to improve platform capabilities.
• Define golden paths for internal teams to contribute data into IrisX Analytics ensuring consistency and governance.
• Enable scalable self-service data integration for customers including metadata and time-series telemetry.
• Monitor data quality, pipeline health, and consumption to build trust and support pay-as-you-go products.
• Collaborate with data scientists, customer teams, pilots, and Databricks to translate needs into scalable solutions.

Requirements

• Expertise in Databricks: Delta Lake, Spark, Databricks SQL, Unity Catalog, Medallion architecture, data modeling, Delta Sharing.
• Proficiency in Python and SQL for end-to-end pipelines from ingestion to consumption.
• Experience designing for scale: multi-tenancy, self-service, low-latency, monitoring.
• Excitement for AI analytics tools like Genie, AI/BI, Databricks Agents.
• Ability to work hybrid in Denmark hubs, primarily Aarhus/Aalborg.

Nice to have

• Experience with real-time IoT data processing.
• Background in construction industry data challenges.

Culture & Benefits

• Remote-first flexibility with purpose-driven in-office gatherings.
• Investment in growth: impact conversations, personal learning paths, retrospectives.
• Heavy focus on AI tooling for product and internal workflows.
• Modern tools across organization, inclusive DE&I initiatives.
• Global team with hubs worldwide, human-centric approach.

Hiring process

• Initial phone conversation with People & Talent team.
• Team interviews with leader and colleagues.
• Assignment-specific interview with case preparation and presentation.
• References, background checks if needed, then offer.