Get your SALARIS indication as a data engineer.
As a Data engineer, you will work daily with complex data structures and processes to generate valuable insights for your employer. But do you actually know what you are worth in terms of salary and market value? What is a realistic hourly rate? If you want to earn more and take your career to the next level, it is important to know your market value.
#DATA #ML #AI
Are you earning enough?
As a Data Engineer, it is important to know your market value and therefore your hourly rate.
Knowing what salary you are worth allows you to profile yourself and negotiate your rate and fringe benefits.
Many Data engineers discover after hearing their market value that they are underpaid and that there is no transparency about construction.
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.
YOUR SALARY UNDER THE MICROSCOPE.
Knowing your market value as a Data engineer allows you to better negotiate salary and benefits. It can also help you choose the right job, determine your career path and create a strategy to achieve your professional goals.
We help you understand your market value so you know what hourly rate is realistic for a data engineer with your experience.
That way you can start earning more quickly. We guarantee that this is going to help you boost your professional development and focus on the most important goals for your career.
So, want to know what you are worth and what salary fits a Data engineer of your level? Discover your market value and get smart about your salary negotiations.
3 tips for a top salary.
Visit our java tribe
Knowledge sharing is extremely important to us at Team Rockstars. Learn how we do this within our Data tribe.
the three most popular careers in data
Are you a Data Engineer, Machine Learning Engineer, MLOps Engineer or other specialist in this emerging field?
In a world where technologies such as data science, machine learning and data engineering reign supreme, the demand for qualified experts in the Netherlands has never been greater.
As a result, the three most popular careers within Data are Data Science, Machine Learning and Data Engineering.
But what do these jobs actually entail?
Data Science
Data Science focuses on discovering insights from complex and unstructured data.
Machine learning
Machine Learning, a subset of data science, focuses on building models that learn and improve themselves from data.
Data engineering
Data Engineering, on the other hand, lays the foundation by ensuring that data is accessible, reliable and in the right format for analysis.
Given the technological growth within the Netherlands and the many expats entering our market, many in this industry do not know their true value.
Techniques & Toolings: where does your expertise lie?
Do you work with Python or are proficient in (Py)Spark?
Maybe you specialize in Cloud solutions like Azure, AWS or GCP.
Whether you have experience with IaC such as Terraform and Bicep, containerization with Docker and Kubernetes, working with Databricks, model monitoring, API development with FastAPI or Flask, orchestration, or setting up CI/CD pipelines, your specific skills are critical to determining your market value.
What hourly rate can you charge?
At Team Rockstars IT, we work with a 70/30 model. Also known as a midlance construction, or the midlance model. Because we believe that good performance should be rewarded, most (70%) of the revenue goes to you!
The higher your hourly rate, the greater your revenue.
So all the more important that you know what rate fits your experience.
Within this construction, the securities of permanent employment (at least monthly 55% of your own turnover, comparable to a market-based fixed salary) are combined with the freedoms from being self-employed: you choose your own projects. As a rule, data engineers at Team Rockstars IT advance 25% to 40% on their hourly rate, naturally continuing to make annual strides as their market value grows.
Why a javanese needs to know what salary he/she can earn.
A data engineer’s salary depends on several factors, including the size of the company you work for, the location, and the level of experience and skills required for the position. For example, data engineers in large companies with complex data structures and processes can earn higher salaries than data engineers in small companies.
In general, a data engineer can expect a good salary, as the demand for professionals in this field is high and the discipline is of great importance to companies that rely on data for their decision-making and operations.
So as a data engineer, it is extra important to be aware of the salaries that are prevalent in the industry and region in which you work. Knowing your market value as a data engineer allows you to better negotiate salary and benefits. Moreover, it can help you choose the right job and develop a career path that fits your skills and ambitions.
our 3 pillars
Very simple. We’ll let you make a list. What kind of company would you like to work for? Where? With what techniques? What kind of culture? Based on your preferences, we will look for a suitable assignment. So you may also always say no to an assignment.
Talent Management
In our opinion, this does go hand-in-hand with a bit of guidance. Our Talent Managers make sure of that. Each Rockstar has its own Talent Manager. This talent manager is involved with you both professionally and personally. How is your skin and in your assignment? What is the situation at home? What is the state of our development goals? Are there any trainings or certifications that can contribute to this? Need a kick in the butt? Or just the occasional brake?
Your talent manager is involved in all of these things, making sure, among other things, that you properly monitor your balance and job happiness. On the other hand, the talent manager encourages your development.
Your fixed salary grows annually with your hourly rate. In addition to the fixed part, you will also earn a variable salary. This is the difference between the fixed revenue you get and your total 70% revenue.
We believe that doing business together works.
The working model we use is completely transparent and you will know at all times what hourly rate you are sitting at with one of our clients.
Here are three examples of IT Rockstars and their 70/30 model. We assume that all three of them work 43.5 weeks (1740 hours) for a client and 8 weeks not (5.5 weeks vacation, 1 week training, 1 week sick, 1 week no assignment).
Your 70% is your money. So you also decide how much you spend on a laptop, phone, training or car. So you can see that Suzanne has more salary left over because she chooses not to drive a leased car.
All the ducks are swimming in the water
….Falderal de riere Falderal de rare. Everyone knows the children’s song, of course. As soon as someone starts the first sentence, on autopilot, completely helpless, you follow the song as a chorus with the well-known- Fal de ral de ral de ra- piece. When you hear it you are overcome by a wonderful warm feeling, safety, trust and recognition. It may remind you of a family member or friend who used to always be there for you.
That feeling of “belonging somewhere,” the warm bath, safety and trust, that describes the feeling everyone who works at Team Rockstars IT has.
With us, no one should feel like the odd duck! The people are central, and in this we distinguish ourselves apart from our technical expertise. Knowledge sharing is of paramount importance at Team Rockstars; we want to connect all available IT expertise. That’s why we work in tribes!
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