Rockstar Tech Networks
DATA.
As a data engineer at Team Rockstars, you have the opportunity to keep developing your skills and contribute to innovative projects that change the world. You help organisations take the next step towards becoming truly data-driven.
Data in numbers
Innovative projects
IT’S ALL ABOUT THE DATA.
One of your key responsibilities as a data engineer is turning vast amounts of data into valuable business insights. By identifying patterns and trends, you help organisations optimise their processes, understand their customers better and improve their strategies.
Keep developing
A field that keeps challenging you.
As a data engineer, the constant challenges and opportunities to learn new skills might be what you enjoy most about the field. Data engineering is constantly evolving, with new technologies and tools emerging all the time. Staying up to date with these developments helps you choose the right technology to meet the organisation’s needs.
Making an impact together
Building results together.
As a Data Engineer at Team Rockstars, you work on projects alongside other technical experts and teams, including data scientists and business analysts. Together, you collect and analyse data and develop solutions that deliver business results. Strong collaboration, communication and teamwork skills are essential for success!
Does this sound like the environment you want to build in?
Find the data role that suits you or discover how you can keep learning and developing at Team Rockstars.
Who you work with
Become part of this community.
Data engineers, data scientists and other technical experts: together, you bring more knowledge to every challenge. Within the data community, you learn from each other, discuss technical decisions and share practical experience.
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Sharing knowledge
Learn from the experiences, insights and technical decisions of other data specialists.
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Finding solutions together
Exchange ideas about data pipelines, platforms, models and the challenges in your projects.
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Different perspectives
Bring data engineering, data science and machine learning together.
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Keep growing
Discover new technologies and help each other progress in a field that keeps evolving.
Meet some of the people in our network. Click on a portrait.
Ready to build with this community?
Find the data role that suits you or learn more about the people and culture at Team Rockstars IT.
The people. The moments.
Life @ Data.
A glimpse into life in our data community.
GREAT WORK.
STARTS WITH PEOPLE.
How you grow
Rockademy Data. Stay ahead as the field evolves.
Data never stands still. That is why, as a Rockstar, you keep investing in your technical and personal development. With development paths in data engineering, data platforms, machine learning and architecture, you shape your next step.
Mastery at Team Rockstars
Growth is more than a training course. It is part of your work.
As Chief Mastery Officer, Mirjam van Olst is responsible for the continued development of the Rockademy, our communities and the way Rockstars keep deepening their expertise.
Mastery does not come from more training, but from continually challenging engineers. Mirjam van Olst · Chief Mastery Officer
A selection of our learning opportunities
From fundamentals to technical depth.
Our learning opportunities keep evolving. Explore the areas in which you can develop within data, with development paths for different roles and experience levels.
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Engineering
Data Engineering
Deepen your expertise as a data engineer and work towards your next step into senior roles and technical leadership.
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Platforms
Data Platform Engineering
Build on your expertise in data platforms, with a development path that matches your experience and professional ambitions.
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Architecture
Data Architecture
Grow towards architecture roles and develop a broader perspective on data landscapes, platforms and technical decisions.
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Machine Learning
From ML Engineer to Architect
Deepen your machine learning expertise and explore development paths towards senior engineer, lead and architect roles.
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Generative AI
GenAI Engineering and Architecture
Expand your expertise into generative AI or take the next step in your GenAI role, from engineering to architecture.
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Personal Growth
Inner Game Data
Growth goes beyond technology. Inner Game Data helps you work on change and personal development.
This is not a fixed training catalogue. The Rockademy evolves with the field, new technology and what Rockstars need in their projects.
Giving knowledge a voice
This is data. Press play.
Join Data Engineer Nino Vrolijk and CTO Arjen Boersma for a deeper look at the field. From the impact of AI to data platforms and the skills of a data engineer: explore conversations and insights from our network.
Featured · The full podcast
Nino · Data Engineer at Team Rockstars IT
Less code. More context.
How is AI changing the work of a data engineer? Nino explains why architecture, critical thinking and understanding the business are becoming increasingly important. He discusses the five pillars of a data platform and why senior expertise and knowledge sharing convinced him to join Team Rockstars IT.
- AI and craftsmanship
- Data platforms
- Architecture and context
- Knowledge sharing
Keep watching
Fresh perspectives on your field.
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Five tips for your data platform
Explore five essential tips for improving your data platform.
Watch on YouTube -
Six Databricks developments from 2023
A look back at six developments highlighted for data engineers in 2023.
Watch on YouTube -
Which skills make the difference?
Explore the skills highlighted for a successful career as a data engineer.
Watch on YouTube
Your expertise
What you will work on.
From reliable data pipelines and scalable platforms to predictive models and technical architecture. Choose your role and discover which data vacancy suits you.
Your growth. Our environment.
Everything you need to stay ahead in data.
You get the freedom, knowledge and resources to keep developing. Deepen your expertise, learn from other data specialists and discover how new technology can take your work further.
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New perspectives
Explore how data, machine learning and AI strengthen each other and what that means for your field.
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Rockademy
Grow through development paths in data engineering, data platforms, machine learning and architecture.
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Data Network
Share knowledge with other data specialists and exchange ideas about technical decisions and experiences from your projects.
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Your choices
Decide how much you spend on things like your laptop, training and mobility within the 70/30 model.
Look beyond your own field
Discover the AI Innovation Lab.
Data and AI are increasingly connected. In the AI Innovation Lab, Rockstars experiment with new models, build proofs of concept and share what works. Explore the POC Library and discover what these developments could mean for your work as a data specialist.
- POC Library
- Current experiments
- AI Circle events
- Knowledge sharing
- Spark
- Databricks
- dbt
- Snowflake
- Kafka
- Airflow
- BigQuery
- Terraform
Data in practice
Data that moves you forward.
Every data challenge has a purpose. Greater insight into the electricity grid. Information that helps students. Discover how our Rockstars work with organisations to build useful data solutions and reliable digital systems.
Spot bottlenecks before they arise.
Holonet and Holocube bring together data from different sources to provide insight into the electricity grid. Team Rockstars IT helped make the backend and architecture more robust, maintainable and extensible.
The right support starts with information you can find.
From manually maintained information in OneNote and Excel to a scalable support platform. Data lakes and Azure Cognitive Search make information about support services easier to access.
A strong foundation for data.
At these organisations, Rockstars also work on the architecture and infrastructure that make data available and useful.
TenneT
A standardised Data Cloud.
Together with TenneT, we developed a Data Cloud to accelerate data and AI applications.
DNB
Distributed data architecture.
Together with DNB, we implemented a distributed data architecture, coached engineers and delivered workshops on secure cloud infrastructure.
A selection of clients and partners featured on our data page
KNOW YOUR WORTH.
Demand for data engineers continues to grow, and companies are willing to pay significant sums for experienced and qualified professionals. By knowing your market value, you can ensure that your salary and benefits are in line with what other companies are offering. If you are not aware of your market value, you risk being underpaid or missing opportunities to advance your career.
Discover your market value with our tool and receive it on your 06 number within one business day. If you wish, we will remove your number afterwards.