Data Engineer

Storing vital products with care

Storing vital products with care

Agile manier van werken
Diverse werkomgeving

Working at the heart of the energy transition and supporting the terminals to become a data driven organization.

Vopak is well underway to become a digital and data driven organization. We are investing heavily in the data foundation as well as speeding up the utilization of data. For years, we have been standardizing our business processes across our terminal network, modernizing our application landscape, started governing and modeling our data, and implemented new cloud based integration-, and data analytics platforms. More and more data is utilized in customer portals, data sharing platforms with partners in the logistic supply chain, and for advanced analytics & AI.

In a brand new department within Global IT, the Data and Analytics Office, all data capabilities needed to support Vopak's data journey are centralized, ranging from Data Engineers & Data Scientists to Data Quality experts and Data Architects. 

As a Data Engineer you will be responsible for expanding and optimizing the preparation and delivery of our data towards our data consumers, including collection/ingestion and integration of data from various internal and external data sources, into the different data stores and systems optimized for reporting and analytics. Examples are our cloud-based data lake (AWS S3), enterprise data warehouse (Snowflake) and data virtualization & catalogue (

Furthermore we are in the process of implementing an ambitious data analytics architecture, where we are translating our business strategy and requirements to new data technologies.

One of your first assignments will be the migration of our current data integration solution into a modernized data integration technology.

We are looking for a (medior) Data Engineer to help us in our journey towards becoming a data driven company. 


  • Preferably 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

  • Advanced working SQL knowledge and experience working with relational databases

  • Experience with AWS cloud services like S3, Athena and Glue

  • Experience with data virtualization tools

  • Experience with relational SQL and NoSQL databases

  • Experience with data vault

  • Experience with data pipeline and workflow management tools

  • Experience with extract, transform, load tools like Matillion, Informatica IICS, AWS Glue Studio

  • Experience with object-oriented/object function scripting languages like Python

  • Strong written and verbal communication

  • Demonstrated strong teamwork, interpersonal and communications skills

  • Demonstrated intensity in completion of work assignments

  • Demonstrated strong analytical and problem solving skills

What we can offer:

  • Market conform salary depending on skills and experience

  • Bonus opportunity

  • Travel allowance

  • 30 holidays on a annual basis

  • Collective Health Insurance (contribution Vopak of 50% of basic package)

  • Vopak's own pension scheme

  • We will continuously invest in your personal growth, and future career path within Vopak

Main activities and responsibilities will be:

You are experienced with leading the data preparation process using different technologies and  who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our Business Intelligence consultants, Data Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The right candidate will be excited by the prospect of optimizing and re-designing our company's data architecture to support our next generation of products and data initiatives. If this is you, then we would be happy to meet you!

The Data Engineer works with the Data Architects, Business Intelligence consultants, Data Scientists and Data Warehouse Engineers in order to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any existent issues. The position of the data engineer also plays a key role in the development and deployment of innovative big data platforms for advanced analytics and data processing.

  • Participate in proof of concepts for determining fit for purpose solutions

  • Work with a variety of databases

  • Build and optimize ‘big data' data pipelines, architectures and data sets

  • Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

  • Work with unstructured datasets

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management

  • Manipulate, process and extract value from large disconnected datasets

  • Setup message queuing, stream processing, and highly scalable ‘big data' data stores

  • Work with cross-functional teams in a dynamic environment

  • Perform thorough testing and validation in order to support the accuracy of data transformations and data verification used in machine learning models

  • Enable and run data migrations across different databases and different servers

  • Analyze complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models

  • Develop and implement scripts for database maintenance, monitoring, and performance tuning to be applied across the business

If you are interested in this position, living in the EU and willing to move to the Netherlands, we ask you to apply online. For more information about this position, please contact the Recruitment department.

An e-assessment forms part of the selection procedure.

Acquisition in response to this advertisement is not appreciated

Sollicitatie procedure

Stap 1
Stap 2
1e interview
Stap 3
Online assessment
Stap 4
2e interview
Stap 5

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Raphael Begeer

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