Data Engineer

Wolters Kluwer
Wolters Kluwer
NLD - Alphen Aan Den RijnPresencialCompetitivo
🇬🇧Inglés requeridoR0055713Publicado hoy

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Are you a data engineering expert who thrives on building scalable, secure, and future-proof data solutions?
Do you want to make a real impact bytransforming HR data into reliable, automated insights that drive strategic decision-making? Then this Data Engineer opportunity might be exactly whatyou'relooking for.

Join our Workforce Intelligence team and play a key role in shaping modern data architecture that supportspeopleanalytics on scale.

The Role

As aData Engineer, you willbe responsible fordesigning, building, andmaintaininga robust and secure HR data architecture.You'llwork closely with the Lead Data Scientist and technical stakeholders to ensure that data flows seamlessly, securely, and accurately across systems.

This is a highly impactful role where you will take ownership of the HR data lake and help evolve it into a scalable, automated, and future-ready platform.

What will you do?

  • Design and implement a modern, scalable data architecture for HR and people analytics

  • Build andmaintaindata pipelines (ETL/ELT) to integrate data from systems like Workday and other sources

  • Ensureaccurate, consistent, and reliable data integration across all platforms

  • Structure andoptimizethe data lake according to best practices

  • Translate security and compliance requirements into robust data engineering solutions

  • Implement data lifecycle management processes, including retention and purging

  • Ensure data quality through monitoring, testing, and validation (e.g.dashboards and reporting)

  • Collaborate closely with technical teams and stakeholders

  • Document data architecture, processes, and security standards

  • Support auditability, traceability, and backup/recovery strategies

Your skills and profile

  • Strong background indata engineeringand data platform design

  • Hands-on experience withSQL, data modelling, and ETL/ELT pipelines

  • Experience withcloud-based data platforms(preferablySnowflake)

  • Solid understanding of data architecture, data storage, and security concepts

  • Experience with data integrations and building reliable data pipelines

  • Bachelor-level thinking and working ability

  • Full professionalproficiencyin English

Nice to have:

  • Experience with Snowflake (incl. Snowpark)orAzure Data Services (Data Factory, Synapse, Databricks, ADLS)

  • Experience with Python

  • Familiarity with Power BI (for data monitoring)

  • Basic software engineering knowledge

Soft skills

You are someone who takes true ownership of your work and feels responsible for delivering high-quality, reliable data solutions. With your strong attention to detail, you ensure that data is alwaysaccurate, consistent, and fully aligned across systems. Youare able towork independently on complex data structures, while also being a collaborative partner for stakeholders across the organization. Thanks to your clear communication style, you can easily translate technical concepts into understandable insights for non-technical colleagues. You ask the right questions, challenge assumptions when needed, and bring a structured, solution-oriented mindset to every problem you tackle.

Whythisrole with us?

  • Make a direct impact on the future of people analytics and data-driven HR

  • Work on building a central data lake that enables automation, scalability, and innovation

  • Collaborate with experienced professionals in data science and HR analytics

  • Take ownership of a critical data engineering domain within the organization

  • Opportunity to shape and influence data architecture from the ground up

What we offer

  • A key position with high visibility and impact

  • A collaborative, international, and data-driven environment

  • Hybrid working model with flexibility

  • Opportunities for professional growth and development

  • Competitive salary and benefits package

Ready to make an impact?

Are you excited about building scalable data solutions and taking ownership of a critical data platform?and become our next DataEngineer andhelp us unlock the full potential of our HR data.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

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