Data Engineer

Build and scale the global data backbone for AI and workforce intelligence

Are you a Data Engineer who thrives in a modern Databricks environment and enjoys building scalable, cloud-native data platforms? Do you want to work at the intersection of data engineering, AI enablement, and platform architecture in an international organization?

We are looking for a Data Engineer to join the Global Data & AI Team at HeadFirst & Impellam Group. In this role, you will help design, build, and evolve our global Headless Data Architecture (HDA), which serves as the foundation for analytics, AI agents, and intelligent workforce solutions across Europe, North America, and APAC.

Your impact

As a Data Engineer, you play a key role in shaping and scaling the data platform that powers our global Workforce-as-a-Service (WaaS) strategy. You work on our Headless Data Architecture (HDA), a scalable 9-layer, API-first lakehouse architecture built on Azure Databricks, Unity Catalog, and Delta Lake.

You are responsible for building reliable, governed, and production-ready data pipelines across our global lakehouse ecosystem. From Medallion-layer engineering to data contracts and platform observability, you help ensure that data products are scalable, reusable, and AI-ready.

Working in a highly collaborative international environment, you will contribute directly to the development of our global data platform and support advanced analytics, semantic search, and AI workloads used throughout the company.

A key part of your role is combining strong engineering fundamentals with an automation-first mindset. You work with modern AI-assisted development tools and help build a platform where data engineering, governance, and AI capabilities are fully integrated.

You work closely with ML/AI engineers, platform engineers, AI builders, cloud engineers, and stakeholders across regions to continuously improve the platform’s scalability, reliability, and quality.

At the same time, you help build a future-proof and well-managed data ecosystem that integrates data quality, lineage, security, and compliance standards into every layer of the platform.

What you will do

• Design, build, and maintain Bronze → Silver → Gold medallion pipelines on Azure Databricks

• Develop deployable and version-controlled data products using Lakeflow, Spark Declarative Pipelines, and Databricks Asset Bundles (DABs)

• Implement and maintain scalable data contracts and data product patterns across the platform

• Manage and optimize Unity Catalog governance, lineage, and access control

• Build and maintain vector and relational storage capabilities that support AI and semantic search workloads

• Contribute to Databricks' vector search and AI-powered retrieval capabilities

• Collaborate with global teams across Europe, the UK, the US, and the Asia-Pacific region on cross-regional data exchange and platform scalability

• Participate in Git-based development workflows, code reviews, and CI/CD practices

• Monitor pipeline health, observability, and platform reliability from a DataOps perspective

• Work with AI-assisted development tools such as Claude Code and the Databricks AI Dev Kit

About the role

You will be part of a growing Global Data & AI Team that plays a central role in transforming HeadFirst & Impellam Group into a truly AI-enabled and data-driven organization.

Working with technologies such as Azure Databricks, Unity Catalog, Delta Lake, and Lakeflow, you help build and scale a shared global data platform that supports analytics, AI products, and operational intelligence across multiple regions.

This role offers a strong combination of hands-on data engineering, platform ownership, and exposure to modern AI-enabled data architectures.