Do you want to develop as a data engineer? Do you have some experience as a data scientist, data analyst or BI specialist. Or would you like to further develop yourself as a data engineer? Our Data Engineering Specialization Program offers you the chance to specialize as a data engineer and get started immediately on challenging projects!

About the program
In this intensive program, you will be trained to become a full-fledged data engineer. During the program, you will learn all the essential skills and techniques you need to develop and implement robust, scalable data solutions. You will receive hands-on training and guidance from experienced data engineers and work on a variety of projects. We also offer you the opportunity to earn valuable certifications in engineering. You will join us directly as a data engineer and play a crucial role in developing end-to-end data solutions for our clients.

You will be working on such things as:

• Data Build Tool (DBT).

• Data modeling

• Databricks

• Terraform

• Ingestion tooling (Airbyte).

• CI/CD & deployment

• Microsoft Azure Cloud Platform

What to expect.

• Hands-on training.: Learn the latest technologies, tools and best practices in data engineering.

• Practical Experience: Work on innovative projects and lay a solid foundation for targeted data solutions.

• Theoretical basis: Obtain certifications to expand your knowledge.

• Guidance: Receive support from experienced data engineers who will coach and guide you during your learning journey.
  

Who we are looking for

You have experience as a data professional (at least 2 years) and have basic knowledge of Python, SQL and Git. You have an interest in databases and ETL tools, but most importantly a willingness to learn and acquire new skills.

What we offer you

After completing the program, we think it is important that you continue to develop. For this we have lab and tech days, about the content of which we would like to tell you personally! We value sociability and health. Therefore, we have a sports and party committee that, among other things, organizes the annual winter sports and weekly sports activities.

In addition, we also offer:

• A challenging position within a transparent organization with an attractive salary.

• Full travel reimbursement.

• The choice between a MacBook or Windows laptop.

• A flexible retirement plan.

• Lots of responsibility and flexible working hours/workplaces. Of course, we would love to see you in the office.

They went before you:

Tim:


When I started working as a data scientist after my physics master’s, I always kind of felt that data engineering was not that exciting. Since switching to data engineering, I’ve found that it is actually very technical, complex, and challenging. We use many different state of the art techniques and always follow software engineering and dev-ops principles. A lot of standards come back into the work while unlocking and transforming data but in the end no two data sources are the same which is always a fun challenge. Also, I always have to consider the scalability and robustness of the solution something that makes it extra complex. I notice that my work makes an immediate impact, something I often missed in data science. I feel it is quite easy to explain the value of my work and I think every company can benefit from it. All in all, data engineering is exactly the challenge I was looking for.

Chantal:

From Data Scientist to Data Engineer: Direct Impact and Full Insight

What I love about my new role as Data Engineer is how practical and immediately applicable my work is. Whereas as a Data Scientist I often worked on experimental models, I now build data solutions that are immediately used in practice. What I also really like is that I now have full insight into where the data comes from and what is involved in unlocking and preparing that data.

I get satisfaction from seeing how my work facilitates the process for Data Scientists because they can now work on models with well-prepared, clean data. In addition, the robust data pipelines we build allow stakeholders to work on their own with tools like Power BI. As a result, they are less dependent on others and can reach insights faster. This hands-on role with immediate impact and overall overview makes the switch incredibly valuable to me.

Luuk:

I think the great thing about Data Engineering is that you make an immediate impact. A feature or bug fix that you develop is immediately of great value to the customer! It’s cool that you work with tools (such as dbt and Databricks) that are very mature and industry standards, but which also change a lot and where new features are often added.

As a Data Scientist, it is good to realize how a data stream is actually created and what is involved. This puts you in a better position to look at things like data quality from a different perspective. In short, Data Engineering is a very useful and fun skillset to learn!

Claudia:

After studying Business Analytics at VU University, I started working as a data scientist at DSL 6 years ago. A logical choice because I had already gained experience with data science during my studies, and…. data science was hot! I soon discovered that it is incredibly important to broaden your knowledge beyond the data science field, especially in the area of data engineering. This makes your job as a data scientist easier and more fun because you are less dependent on others. At my first client, Port of Amsterdam, I was lucky enough to learn from experienced data engineers and BI specialists. Eventually I found the work as a data engineer so enjoyable k That I totally made the switch. I especially like that the work is so results-oriented. Everything you create ends up in the data platform and will be used by people from the business. That gives me satisfaction! With this program I hope to transfer these valuable skills to other data professionals and in addition to showing how much fun data engineering is.

Interested?

Are you ready to step into data engineering? Send your CV and motivation to solliciteren@datasciencelab.nl and apply for our Data Engineering Specialization Program.