Vacancy description
Imported 2026-11-06 16:15:32.863272+00:00
You want your work to matter. You want to shape how data and AI are used in a company that builds on a global scale. In this role, you make sure innovation moves forward with care, clarity and confidence. You help teams use data and AI in a way that is safe, responsible and ready for the future.
THE POSITION
Data and AI are changing the way we work, make decisions and deliver results. As a Data Engineer, you play a key role in turning data into reliable and valuable solutions for the business. You design, build and maintain modern data products that help teams make better decisions and create impact across the organisation. Working with technologies such as Databricks and DBT, you ensure data is accessible, trusted and ready for future innovation. You collaborate closely with business stakeholders, IT teams and data specialists to understand challenges and translate them into scalable solutions. In this role, you help strengthen the foundation for data driven decision making and enable the responsible use of advanced analytics and AI capabilities.
YOUR IMPACT
Your key responsibilities include:
Create valuable data structures.
Build Data and AI products that support critical decision making.
Guide business stakeholders towards effective and responsible use of Data and AI capabilities.
Promote awareness and build capability by developing guidelines, conducting training, and engaging stakeholders.
Serve as a trusted advisor for both business and technical teams on responsible AI practices, data management, and governance requirements.
YOUR WORKPLACE
You become part of a collaborative environment where knowledge is shared openly and ideas are welcomed. You work closely with other teams within Data & AI: Data & AI Governance and Data & AI Platform. Additionally, you work closely with various business stakeholders, colleagues from IT, and Legal, Security, Sustainability. Together, you build solutions that are not only technically strong, but also trusted and future proof. You get the freedom to take ownership, bring new ideas and make a visible impact across the organisation.
ABOUT YOU
You bring a university degree or equivalent experience, along with at least 5 years of professional experience in a relevant field. You have a minimum of 2 years of experience working with the Data Bricks and DBT implementations. You communicate confidently in English, both spoken and written, and are comfortable working in a SCRUM environment. You are naturally curious, eager to learn and committed to staying up to date with the latest technologies and market developments. In addition, you thrive in collaborative and multicultural environments, communicate clearly, adapt well to changing priorities and demonstrate resilience and determination in achieving results.
Key requirements:
University degree or equivalent experience
Minimum 5 years of relevant professional experience
Solid experience with Databricks and modern data engineering practices.
Strong skills in data modeling, ETL/ELT, and data product development.
Experience working with DBT for data transformations and pipeline automation.
Strong English communication skills and experience working in a SCRUM team
WE OFFER
At Van Oord, your work contributes directly to our mission of building a better world for future generations. In return, we offer:
A competitive salary aligned with your responsibilities and experience
Travel allowance (€0.31 per km) & home working allowance (€2.45 per day)
32 holidays (up to 7 collective)
Variable bonus based on company performance
Attractive pension scheme
Option for collective health insurance (supplementary package paid by Van Oord)
Hybrid working: up to 2 days per week from home (full-time)
Extensive development and e-learning through GoodHabitz
Active employee communities (Young Van Oord, Van Oord Women, Staff Association)
Sports & social activities: skiing trips, cycling, sailing weekends, motorcycling, and more
Full-text baseline
Classified 2026-11-07 12:47:21.681002+00:00
DataAINeeds review
Explicit role/task wording or requested domain skills support the proposed scope; LTA review remains required.
Skills suggested
- Data pipelines
Source passage
You have a minimum of 2 years of experience working with the Data Bricks and DBT implementations.
- Responsible AI practice
Source passage
You work closely with other teams within Data & AI: Data & AI Governance and Data & AI Platform.
Proposed e-CF links
Suggested links for review. They do not assess skill levels.
Data pipelines to B.2: Component Integrationrelated · draft aiet for amey review
Source passage
You have a minimum of 2 years of experience working with the Data Bricks and DBT implementations.
Task: The task integrates systems or components and checks compatibility.
Data pipelines to D.7: Data Science and Analyticsrelated · draft aiet for amey review
Source passage
You have a minimum of 2 years of experience working with the Data Bricks and DBT implementations.
Task: The task extracts and integrates data sources for analytics.
Responsible AI practice to E.3: Risk Managementrelated · draft aiet for amey review
Source passage
You work closely with other teams within Data & AI: Data & AI Governance and Data & AI Platform.
Task: The task applies a risk process with documented risks and controls.
Other source passages
You have a minimum of 2 years of experience working with the Data Bricks and DBT implementations.
Data & AI Engineer
AI suggestion
Classified 2026-11-07 16:22:02.254044+00:00
DataNeeds review
The title and description refer to AI products and responsible AI practices, but do not explicitly establish AI/ML development, evaluation, deployment, or governance as duties of this role. Databricks and DBT experience is stated, but the experience wording is ambiguous as to whether it is mandatory.
Skills suggested
- Data pipelines, required
Source passage
Strong skills in data modeling, ETL/ELT, and data product development.
- Needs and results communication
Source passage
You collaborate closely with business stakeholders, IT teams and data specialists to understand challenges and translate them into scalable solutions.
- Responsible data handling
Source passage
Serve as a trusted advisor for both business and technical teams on responsible AI practices, data management, and governance requirements.
Proposed e-CF links
Suggested links for review. They do not assess skill levels.
Data pipelines to B.2: Component Integrationrelated · draft aiet for amey review
Source passage
Strong skills in data modeling, ETL/ELT, and data product development.
Task: The task integrates systems or components and checks compatibility.
Data pipelines to D.7: Data Science and Analyticsrelated · draft aiet for amey review
Source passage
Strong skills in data modeling, ETL/ELT, and data product development.
Task: The task extracts and integrates data sources for analytics.
Needs and results communication to D.11: Needs Identificationrelated · draft aiet for amey review
Source passage
You collaborate closely with business stakeholders, IT teams and data specialists to understand challenges and translate them into scalable solutions.
Task: The task clarifies customer needs for an ICT solution.
Responsible data handling to D.10: Information and Knowledge Managementrelated · draft aiet for amey review
Source passage
Serve as a trusted advisor for both business and technical teams on responsible AI practices, data management, and governance requirements.
Task: The task applies privacy or IPR controls within an information process.
Responsible data handling to D.7: Data Science and Analyticsrelated · draft aiet for amey review
Source passage
Serve as a trusted advisor for both business and technical teams on responsible AI practices, data management, and governance requirements.
Task: The task applies ethical or privacy controls during analytical data work.
Other source passages
You design, build and maintain modern data products that help teams make better decisions and create impact across the organisation.
Strong skills in data modeling, ETL/ELT, and data product development.