Senior Enterprise Data Modeler

HeadFirst Group

Hoofddorp

Hybrid

EUR 90,000 - 130,000

Full time

11 days ago
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Benefits offered by this job

Salary ranges aligned to experience
Holiday pay 8.33%
Hybrid work 60/40
Pension plan
Performance bonus

Job summary

HeadFirst Group is seeking a Senior Enterprise Data Modeler to own Data Vault 2.0 modelling across core business domains within a modern Azure/Databricks data platform. You will translate business processes into robust, reusable data models and work closely with business stakeholders and the Data Engineering team.

The role focuses on detailed modelling decisions, ensuring a harmonised view across regions, and delivering flexible data contracts and accelerators for analytics, AI, and future data

Qualifications

  • 5+ years of experience in enterprise data modelling.
  • Proven production experience with Data Vault 2.0.
  • Experience building or working with Data Vault 2.0 accelerators.
  • Hands-on experience implementing Data Vault 2.0 on Databricks.

Responsibilities

  • Own and evolve the Data Vault 2.0 model across the global data platform.
  • Translate business concepts into data models, diagrams and definitions.
  • Design hubs, links, satellites, Raw Vault and Business Vault structures.
  • Define business keys, hash key strategies, satellite design and driving keys.
  • Model data from source systems (e.g., Workday) into a consistent structure.
  • Design Gold-layer models and golden records for core entities (Customer, Partner, Candidate, Worker).
  • Maintain documentation and ensure cross-region consistency.

Skills

Data Vault 2.0
Enterprise data modelling
Databricks
Delta Lake
Unity Catalog

Tools

Databricks
Delta Lake
Unity Catalog
Workday

Job description

Shape the data foundation of a global organisation

Do you enjoy turning complex business processes into clear, scalable data models? And do you have strong experience with Data Vault 2.0 and enterprise data modelling?

At HeadFirst x Impellam, our Global Data & AI team is building a modern, cloud-native data platform supporting workforce analytics, talent intelligence and AI-enabled solutions across Europe, the UK, US and APAC.

We are looking for a Senior Enterprise Data Modeler to take ownership of the Data Vault 2.0 modelling across our core business domains.

This is a modelling role rather than an architecture role. You will work closely with business stakeholders and our Data Engineering team to translate how the business operates into a robust and reusable data model.

Your Role

You will be responsible for the detailed modelling decisions within our global data platform.

You will work with business concepts such as Candidates, Workers, Jobs and Clients, defining how these entities relate to each other and translating them into business keys, hubs, links, satellites and Business Vault structures.

You will report to the Global Data & AI Architect, who owns the overall architecture, methodology and standards. Within that framework, you will have ownership of the detailed data modelling.

A key part of your role is working with the business. You will work closely with the CBO and other stakeholders to understand their processes and make sure the data model reflects how the organisation actually works.

What You Will Do
  • Own and evolve the Data Vault 2.0 model across our global data platform.
  • Translate business concepts and processes into clear data models, diagrams and definitions.
  • Design hubs, links, satellites, Raw Vault and Business Vault structures.
  • Define business keys, hash key and hash diff strategies, satellite structures and driving keys.
  • Model data from enterprise source systems, including Workday, into a consistent structure.
  • Design Gold-layer models and golden records for core entities such as Customer, Partner, Candidate and Worker.
  • Define reconciliation and survivorship logic when different systems contain different versions of the truth.
  • Create modelling standards, metadata and data contracts that can be reused by our Data Vault accelerator.
  • Work closely with Data Engineering to make sure your models can be implemented effectively in Databricks.
  • Maintain clear documentation so engineering teams can work independently from your modelling decisions.
  • Help maintain consistency across our regional and global data environments.
Our technology

Our data platform is built around a modern Azure and Databricks stack.

Azure Databricks
  • Delta Lake
  • Spark
  • Unity Catalog
  • ADLS Gen2
  • Lakeflow
  • Spark Declarative Pipelines
  • Databricks Asset Bundles
  • GitHub
  • Power BI
  • Delta Sharing

We are also increasingly using AI in our development and modelling workflows, including tools such as Claude Code and the Databricks AI Dev Kit.

You do not need experience with every technology in the stack, but a strong understanding of Databricks, Delta Lake and Unity Catalog is important for this role.

Why this Role?

You will have a direct influence on the data foundation of a growing international organisation.

Your modelling decisions will help create a consistent view of our core business domains across regions and provide the foundation for analytics, AI and future data products.

You will work closely with the Global Data & AI Architect, CBO, Data Engineering and business stakeholders, giving you a broad view of both the technology and the business.

You will also have the opportunity to develop reusable Data Vault patterns and accelerators that can be applied across different regions and domains.

Here’s what we offer you
  • Salaris dat past bij jouw ervaring
  • Je ontvangt een range aan salaris dat aansluit op jouw kennis en ervaring. We belonen je eerlijk voor je inzet en ontwikkeling.
  • Vakantiegeld en vrije dagen
    Je ontvangt 8,33% vakantiegeld en hebt recht op 27 vakantiedagen per jaar op basis van een fulltime dienstverband. Zo heb je voldoende ruimte om op te laden.
  • Hybride werken
    Wij ondersteunen hybride werken en hanteren hiervoor een 60/40-verdeling, waarbij je bij een fulltime dienstverband drie dagen op kantoor bent en twee dagen vanuit huis kunt werken.
  • Premievrij pensioen
    Wij betalen jouw volledige pensioenpremie. Je bouwt dus pensioen op zonder dat je daar zelf aan bijdraagt. Je houdt hierdoor een hoger nettosalaris over.
  • Prestatiebonus
    Afhankelijk van jouw prestaties én die van HeadFirst Group kun je jaarlijks een extra beloning ontvangen van één of twee maandsalarissen.
  • Maandelijkse extra’s
    Je ontvangt een maandelijkse vergoeding voor internet, een vitaliteitsbudget, een bijdrage voor lunch en ondersteuning bij het inrichten van je thuiswerkplek.
What we expect from you
Who You Are

You are an experienced data modeller who understands both the technical side of enterprise data and the business behind it.

You Probably Recognise Yourself In The Following
  • You have 5+ years of experience in enterprise data modelling.
  • You have proven production experience with Data Vault 2.0.
  • You have experience building or working with Data Vault 2.0 accelerators and reusable modelling patterns.
  • You have hands-on experience implementing Data Vault 2.0 on Databricks.
  • You have a strong understanding of business keys, hash strategies, satellite design, driving keys and Raw Vault versus Business Vault.
  • You are experienced in translating business concepts and processes into enterprise data models.
  • You understand master data, golden records and reconciliation across multiple source systems.
  • You are familiar with the Medallion Architecture and concepts such as Bronze, Silver and Gold.
  • You communicate clearly and can explain complex data concepts to both technical and non-technical stakeholders.
  • You are comfortable making and defending modelling decisions while working within an agreed architecture.
  • You are structured, precise and able to work effectively in an international environment.
Nice to have
The Following Experience Would Be Valuable
  • Workday HCM and/or Financials.
  • Workday RaaS.
  • Databricks AI Dev Kit or other AI-assisted modelling tools.
  • Delta Sharing or Apache Iceberg.
  • Staffing, recruitment or workforce solutions.
  • Previous experience in data architecture.
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