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Senior Data Engineer

On-site
  • Rotterdam, Zuid-Holland, Netherlands
Data Engineering

Job description

We all love data nowadays. Having a solid foundation for consistent information across the organization is essential. Are you the specialist when it comes to building and managing a secure data architecture? Then Rockfeather is the place to be!


Your role as a Senior Data Engineer


As a Senior Data Engineer, you are a key player in developing cloud-based data architecture for our customers. You create an environment for processing and analyzing data that fits their needs to boost their performance. Setting up infrastructures, designing and building data warehouses is what you do best. Programming and building API’s is what you love to do. Your main objective is always to add value to someone’s business and keep optimal performance in mind. You don’t do it for less.

Because your business is rapidly changing, you constantly learn and keep up with the latest tools and services in the Azure ecosystem and share this with your Rockfeather colleagues and our customers.



Your most important tasks as a Senior Data Engineer:


  • Creating an environment using the latest data platform technologies to manage and secure the flow of structured and unstructured data from multiple sources;
  • You develop a data architecture to provide an optimal data pipeline;
  • You create reusable, maintainable, scalable integrations/services using an advanced hybrid Cloud infrastructure;
  • You retrieve data, transform, validate and clean up to meet functional and non-functional business requirements;
  • You deployed models in production and maintain a continuous integration pipeline, including monitoring and optimization of system performance and costs;
  • Experience with planning projects;
  • Available to help with:
    • high level decisions;
    • pedagogic/didactic, ready and willing to help team members.



What does Rockfeather have to offer?


Rockfeather gives you the complete freedom to continue your development as a Data Engineer. We provide almost unlimited opportunity and funding for training, education, and participation in events. We understand that our business is changing rapidly, so we challenge you to keep up with the latest developments in technology. Of course, we give you the freedom and responsibility to do what is best for you.

Together we are passionate about the possibilities of data-driven working and offering the best solution for our customers. Our teams with Data Analytics, Data Integration, Data Science, and Low-code colleagues share their knowledge and network so that together we can realize impactful projects and unique solutions. We understand that the quality of your life determines the quality of your work. That is why we offer a complete package to take good care of yourself and your loved ones.


Just like every other company, we think we are unique, and we are ‘the place to be.’ The truth is that we are not ‘the place to be’ for a lot of people. If you are looking for a place to build a career in our ‘management’ or if you like everything clean and crisp between 9:00 a.m. and 5:00 p.m., then look somewhere else.

At Rockfeather, we put craftsmanship first. We are passionate about what we do; embracing technology to empower ambitious people. If you want all the freedom and support to develop your skills to become the next ‘data guru’, then Rockfeather is the place for you. We also offer the opportunity to buy shares of the team you work in, the ultimate way to bring your entrepreneurship to the next level!

Job requirements

What do you bring to the table?


  • You preferably have a completed Bachelor’s degree within the field of Informatics or Computer Science. But in the end, your skills and attitude make the real difference;
  • You have a minimum of three years of experience as a Data Engineer, preferably with Microsoft Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure SQL Server and/or TimeXtender;
  • You have experience in at least one of the following areas: setting up cloud-based data pipelines, deploying machine learning models or designing a big data infrastructure in the Cloud;
  • You have proven experience with having helped to translate needs into robust data models;
  • Of course, you have good communication skills and a high level of customer and quality awareness;
  • Wide knowledge about various tech, more than only the ones stated below;
  • You have experience and knowledge of (relational) databases, data modelling, reports, data warehouses, metadata and ETL;
  • You are familiar with the programming languages such as SQL and Python;
  • You are fluent in the Dutch and English languages;
  • You have the flexibility to work and maintain focus in an evolving environment;
  • You like to share knowledge with others, and you’re a team player and networker;
  • You are result-driven and customer-oriented because you own the process and consistently deliver top-notch quality;
  • You like to roll up your sleeves, and you have a talent for spotting new opportunities;
  • You have to reside in the Netherlands


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