Principal Data Engineer (Databricks)

Location: Amsterdam, Netherlands; remote or hybrid depending on location. Working time zone: US/EMEA.

Company

hirify.global is a global commercial real estate services firm serving property owners and occupiers through property, facilities and project management, leasing, capital markets, valuation, and related services.

What you will do

• Deliver technically demanding data engineering work, including high-scale pipelines, performance-critical workloads, workload optimization, and platform capabilities on Databricks and Azure.
• Design, implement, and validate end-to-end data architectures covering ingestion, storage, transformation, serving, and governance using Lakehouse patterns.
• Write, review, and refactor production code for performance, reliability, security, observability, and cost efficiency.
• Embed across Data Engineering teams for engagements lasting days to months to lead, accelerate, or de-risk critical projects.
• Identify technical risks and execution gaps, drive issues to resolution, and advise stakeholders on data engineering strategy and trade-offs.
• Mentor engineers through code reviews, pairing, design reviews, coaching, tech talks, and written technical deep dives.

Requirements

• Extensive data engineering experience at increasing levels of seniority, with a track record of delivering production-grade data platforms and pipelines at scale.
• Near-expert hands-on proficiency with Databricks and the Azure data ecosystem, including Spark, Lakeflow, Spark Declarative Pipelines (DLT), Delta Lake, Lakebase/Postgres, and Unity Catalog.
• Experience designing and implementing end-to-end data architectures for complex, enterprise-scale environments.
• Ability to mentor engineers, lead through influence without direct reports, and raise team-wide standards for technical excellence.
• Familiarity with modern data architecture patterns, including Lakehouse, medallion, and data mesh, as well as DataOps practices.
• Familiarity with metadata-driven and configuration-driven pipeline frameworks and reusable, scalable engineering patterns.

Nice to have

• Experience embedding across multiple teams, geographies, and time zones as a senior technical contributor or technical lead.
• Familiarity with CI/CD and infrastructure-as-code tooling for data pipelines, such as Azure DevOps, Databricks Automation Bundles (DABS), GitHub Actions, or equivalent.
• Good understanding of data governance, metadata management, and cataloguing in enterprise environments.

Culture & Benefits

• Inclusive culture focused on diversity, equity, and inclusion.
• Commitment to a diverse, inclusive, and barrier-free workplace.
• Equal opportunity employment and accessibility accommodations during the hiring process.