Creates, part of the Caesar Groep, is recruiting a Medior Data Engineer to help design and build modern, scalable data platforms using technologies including Microsoft Fabric, Azure Databricks, Azure Data Factory, Python and SQL.
The position offers an advertised salary of €4,135 to €5,685 gross per month, alongside 10% holiday allowance, 26 vacation days, an annual €1,000 training budget, at least four training days, a mobility budget and support for home-working equipment.
The position follows a flexible working model. Creates states that most colleagues choose to spend approximately two days with clients, one to two days working from home and at least one day at the office.
This is not an entry-level Data Engineer vacancy. Candidates need at least three years of demonstrable relevant work experience and good command of the Dutch language.
Creates Medior Data Engineer 2026 Overview
| Category | Details |
|---|---|
| Company | Creates |
| Parent Company | Caesar Groep |
| Position | Medior Data Engineer |
| Field | Data Engineering / Data Consulting |
| Hours | 32–40 hours per week |
| Salary | €4,135–€5,685 gross per month |
| Work Model | Flexible / hybrid-style arrangement |
| Office | Utrecht referenced for team office activities |
| Experience | At least 3 years |
| Main Platforms | Microsoft Fabric, Azure Databricks, Azure Data Factory |
| Programming / Data Skills | Python, SQL, ETL |
| CI/CD | Azure DevOps or GitHub pipelines |
| Architecture | Data Lakehouse and traditional Data Warehouses |
| Data Modelling | Star modelling |
| Training Budget | €1,000 per year |
| Training Days | At least 4 |
| Vacation | 26 days |
| Holiday Allowance | 10% |
| Dutch Required | Yes, good command required |
| Application Deadline | Not specified |
About Creates
Creates describes itself as a close-knit and ambitious team of data consultants and is part of Caesar Groep.
The company works within the Microsoft ecosystem and has an ambition to develop its position as a data partner specializing in Microsoft technologies.
Its consultants work with organizations of different sizes and across different industries.
The Medior Data Engineer position forms part of an expansion of the company’s data-consulting team.
What Will You Do as a Medior Data Engineer?
The role goes beyond implementing predefined technical tasks.
As a Medior Data Engineer, you will act as an experienced engineer and sparring partner for both clients and colleagues.
A major part of the position involves helping design and deliver modern data platforms.
You will work with technologies including:
- Microsoft Fabric
- Azure Databricks
- Azure Data Factory
- Python
- SQL
- Azure DevOps
- GitHub pipelines
The role also involves solving complex data-engineering problems and working directly with customers.
Build Modern Data Platforms
One of the central responsibilities is designing and implementing scalable data platforms.
Creates specifically highlights:
Microsoft Fabric
and:
Azure Databricks
as important technologies within the position.
Candidates should therefore already bring practical data-engineering experience rather than expecting to learn the fundamentals of data engineering after joining.
Microsoft Fabric Experience
Microsoft Fabric is specifically identified as one of the relevant services for the position.
The vacancy requires at least three years of demonstrable work experience across the stated areas, including experience with services such as:
- Microsoft Fabric
- Azure Data Factory
- Azure Databricks
The wording does not necessarily establish that candidates must have spent three years using every individual technology listed, but applicants should have relevant demonstrable experience across the required data-engineering capabilities.
Azure Databricks
Azure Databricks is another major platform mentioned throughout the vacancy.
Creates builds data platforms using Microsoft Fabric and Azure Databricks, so experience with modern cloud data-engineering environments is important.
Candidates with practical Databricks experience should make this clear in their CV and application.
Azure Data Factory
Experience with Azure Data Factory is also listed among the relevant technical requirements.
Applicants should highlight experience designing, developing or maintaining data pipelines and related cloud-data workflows where applicable.
Python and SQL
Candidates need data-analysis and ETL skills using:
Python or SQL.
This is particularly important for professionals applying from broader analytics backgrounds.
Rather than simply listing Python and SQL under a CV skills section, applicants should show how they have used these technologies in practical data-engineering projects.
Examples could include:
- Data transformation
- ETL processes
- Data pipelines
- Data processing
- Data-quality workflows
- Analytics engineering
- Data-platform development
Only include experience you can demonstrate and discuss during the recruitment process.
ETL Skills
ETL is explicitly included among the required technical capabilities.
Candidates should therefore be comfortable working with the processes involved in moving and transforming data within modern data architectures.
Practical examples of ETL work can strengthen an application, particularly when they demonstrate how the applicant contributed to reliable, scalable data pipelines.
CI/CD Experience
Creates also requires experience with CI/CD using:
- Azure DevOps
- GitHub pipelines
This indicates that the position incorporates software-engineering and DevOps practices into data-platform development.
Applicants should highlight experience with automated development, testing and deployment workflows where relevant.
Data Lakehouse Architecture
Candidates should understand architecture concepts including:
Data Lakehouse
and:
Traditional Data Warehouses.
This requirement reflects the architectural responsibilities involved in building modern enterprise data platforms.
Applicants should be prepared to discuss why different architectures may be appropriate for different organizational requirements.
Data Warehouse Experience
Traditional Data Warehouse concepts remain relevant to the position despite its focus on newer platforms such as Microsoft Fabric and Databricks.
The vacancy therefore appears suited to engineers who understand both established data warehousing principles and modern cloud-based architectures.
Star Modelling
Stermodelleren, or star modelling, is another explicitly listed requirement.
Candidates should understand dimensional modelling concepts and how they are applied within analytical data environments.
This is particularly relevant when building data platforms that ultimately support Business Intelligence, analytics and reporting.
More Than a Technical Engineering Role
Creates makes clear that this position is not designed for someone who only wants to receive clearly defined technical tasks.
The successful candidate works as a:
Data Consultant
rather than simply a back-office Data Engineer.
You will be expected to:
- Understand the client’s question
- Help translate requirements
- Build the solution
- Work with stakeholders
- Deliver the completed solution
- Take ownership throughout the process
This makes communication and consulting ability important alongside technical skills.
Work Directly With Clients
Customer interaction is a significant part of the role.
Creates expects its consultants to work actively with clients and colleagues to address current and future challenges.
The successful candidate therefore needs both technical depth and customer orientation.
Ownership From Beginning to End
Creates describes a working model where clear goals and frameworks are agreed, but employees have freedom in determining how to achieve them.
Employees are expected to:
- Take ownership
- Manage work from beginning to end
- Communicate progress transparently
- Raise problems when necessary
The role therefore requires a degree of professional independence.
Pre-Sales and Additional Responsibilities
The Medior Data Engineer role can also be broadened beyond core engineering.
Creates states that employees may contribute to areas such as:
- Pre-sales processes
- Proposal processes
- Coaching colleagues
- Training
This may appeal to Data Engineers who want to develop consulting, commercial, leadership or teaching experience alongside technical expertise.
Who Can Apply?
Candidates should have relevant experience in Data Engineering and be comfortable working directly with clients.
The vacancy requires availability for:
32–40 hours per week.
Candidates must also have:
Good command of the Dutch language.
Minimum Experience Requirement
Creates asks for at least:
3 years of demonstrable work experience
with the relevant technologies and data-engineering concepts listed in the vacancy.
This makes the position primarily suitable for experienced Data Engineers rather than graduates seeking their first data role.
Technical Skills Required
Applicants should bring relevant demonstrable experience involving:
- Microsoft Fabric
- Azure Data Factory
- Azure Databricks
- Azure DevOps or GitHub pipelines
- Data Lakehouse architecture
- Traditional Data Warehouses
- Star modelling
- Python or SQL
- ETL
Candidates should review their CV carefully to ensure these capabilities are visible where they genuinely have the required experience.
Dutch Language Requirement
Creates explicitly requires:
Good command of the Dutch language.
International applicants should pay particular attention to this requirement.
Strong technical skills alone may not satisfy the vacancy requirements if the applicant cannot meet the required Dutch-language proficiency.
Working Hours
The position is available for:
32–40 hours per week.
This provides some flexibility between a four-day-style schedule and a standard full-time working week, depending on the agreed arrangement.
Hybrid and Flexible Working
Creates describes a flexible approach to structuring the working week.
According to the vacancy, most colleagues choose approximately:
2 days at the client
1–2 days working from home
At least 1 day at the office
This is an example of the pattern chosen by most colleagues rather than a rigid universal weekly schedule.
Office and Team Collaboration
The vacancy references team days at the company’s office in Utrecht.
Employees also meet at the office monthly for:
- Knowledge sharing
- Team building
- Social activities
The working model therefore combines independent flexibility with regular in-person collaboration.
Medior Data Engineer Salary
The advertised salary is:
€4,135–€5,685 gross per month.
The exact salary offered to an individual candidate can depend on factors considered during the recruitment process.
This is the employer’s stated monthly gross salary range for this particular vacancy.
10% Holiday Allowance
In addition to the monthly salary, the vacancy includes:
10% holiday allowance.
This forms part of the wider employment package offered for the position.
26 Vacation Days
Employees receive:
26 vacation days.
The vacancy also lists a range of professional-development, mobility, pension, wellbeing and home-working benefits.
€1,000 Annual Training Budget
Professional development is an important component of the role.
Employees receive:
€1,000 training budget per year.
Creates also provides at least:
4 training days.
Training and Professional Development
Employees can participate in:
- External learning programmes
- Internal learning programmes
- Technical training
- Masterclasses
- Caesar Academy activities
Creates positions professional growth as an ongoing part of working within the data team.
Career Growth
The company states that employees have room to grow both:
Within their existing role
and:
Outside their current role.
For a Medior Data Engineer, this could provide opportunities to broaden consulting capabilities or deepen Data Engineering expertise.
The vacancy does not promise a specific promotion timeline.
Mobility Budget
The benefits package includes a:
Mobility budget.
Employees can use it toward:
- A lease car
- NS Business Card
- Additional salary payment
The exact applicable conditions should be confirmed as part of the employment process.
Home-Working Support
Creates provides home-working equipment such as:
- Desk
- Office chair
- Monitor
The package also includes a net expense allowance covering telephone and internet costs related to working from home.
Pension and Healthcare Contributions
The company states that employees receive employer contributions toward:
- Pension
- Healthcare insurance
Applicants should review the exact terms when discussing the employment package.
Caesar Groep Share Certificate
The benefits package also includes:
A certificate of shares in Caesar Groep.
Candidates interested in the financial structure or conditions associated with this benefit should request the applicable details during the recruitment process.
Health and Wellbeing
Creates also offers wellbeing-related support.
The vacancy mentions:
- An in-house vitality coach
- Weekly boxing sessions
- Weekly bootcamp sessions
These benefits form part of the company’s broader employee experience.
Team Activities
Creates emphasizes its team culture throughout the vacancy.
Activities mentioned include:
- Team lunches
- Knowledge sessions
- Table football
- Padel
- Social drinks
- Annual winter sports activities
These cultural benefits are supplementary to the core employment and professional-development package.
Is This an Entry-Level Data Engineer Job?
No.
This is specifically advertised as a Medior Data Engineer position.
Applicants need at least three years of demonstrable relevant experience.
Graduates without professional Data Engineering experience should therefore look for junior or graduate opportunities instead.
Is a Degree Required?
The supplied vacancy information does not specify a universal bachelor’s or master’s degree requirement.
The employer instead explicitly emphasizes demonstrable professional experience and technical capabilities.
Candidates should not assume this means education is irrelevant; it simply means a specific degree requirement is not established in the supplied vacancy information.
Is Microsoft Fabric Required?
Microsoft Fabric is one of the core technologies emphasized in the vacancy.
The role involves building data platforms using Microsoft Fabric and Azure Databricks, while the experience requirements reference Microsoft Fabric, Azure Data Factory or Azure Databricks.
Candidates should carefully assess how their existing cloud data-platform experience aligns with these requirements.
Do You Need Both Python and SQL?
The vacancy states:
Python or SQL
in relation to data-analysis and ETL skills.
Candidates with experience in both may naturally highlight both, but the supplied requirement does not justify claiming that both are universally mandatory.
Do You Need Azure Experience?
The technical environment is strongly Microsoft Azure-oriented.
Technologies specifically mentioned include:
- Azure Databricks
- Azure Data Factory
- Azure DevOps
- Microsoft Fabric
Candidates with relevant Microsoft data-platform experience are therefore particularly aligned with the technical environment.
Is the Position Remote?
The position should not be described as fully remote.
Creates describes a flexible working pattern combining:
- Client locations
- Home working
- Office work
Most colleagues reportedly choose two days at the client, one to two days at home and at least one day at the office.
Visa Sponsorship
Visa sponsorship is not specified in the supplied vacancy information.
International applicants requiring sponsorship should therefore not assume it is available.
Application Deadline
A specific closing date is not provided in the supplied vacancy information.
Candidates interested in the role should check whether the position remains available before applying.
How to Apply
Candidates can apply through the official Medior Data Engineer bij Creates vacancy.
Applicants should prepare their application around the requirements of this specific role rather than submitting a generic Data Analyst or software-engineering CV.
How to Strengthen Your Application
Your CV should make your relevant Data Engineering experience immediately visible.
Where applicable, highlight practical experience with:
- Microsoft Fabric
- Azure Databricks
- Azure Data Factory
- Python
- SQL
- ETL
- Data pipelines
- Data Lakehouse architecture
- Data Warehouses
- Star modelling
- Azure DevOps
- GitHub pipelines
- Client-facing consulting
Rather than listing technologies alone, describe what you built and the business problem the solution addressed.
Application Mistakes to Avoid
Candidates should avoid treating this as a generic Data Analyst position.
Creates is specifically seeking someone capable of contributing to the design and implementation of scalable data platforms while interacting directly with customers.
Another important mistake would be overlooking the Dutch-language requirement.
Applicants should also avoid presenting only dashboard or reporting experience if they cannot demonstrate the deeper Data Engineering and platform capabilities required for the position.
Frequently Asked Questions
What position is Creates hiring for?
Creates is recruiting a Medior Data Engineer.
What is the salary?
The advertised salary is €4,135–€5,685 gross per month.
How many hours per week is the position?
Candidates should be available for 32–40 hours per week.
How much experience is required?
At least three years of demonstrable relevant work experience is required.
Does the job involve Microsoft Fabric?
Yes. Microsoft Fabric is one of the major technologies identified in the vacancy.
Does the job involve Azure Databricks?
Yes. Azure Databricks is specifically included.
Is Azure Data Factory relevant?
Yes. Azure Data Factory is included among the services mentioned in the experience requirements.
Is Python required?
The vacancy requires Data Analysis and ETL skills with Python or SQL.
Is SQL required?
SQL is one of the stated options for Data Analysis and ETL skills.
Do I need CI/CD experience?
Yes. The requirements include CI/CD using Azure DevOps or GitHub pipelines.
Does the role involve Data Lakehouse architecture?
Yes. Candidates need relevant knowledge of Data Lakehouse and traditional Data Warehouse architectural concepts.
Is Dutch required?
Yes. Creates explicitly requires a good command of the Dutch language.
Is this a remote job?
No universal fully remote arrangement is stated. The described working pattern combines client, home and office work.
How many vacation days are offered?
The vacancy provides 26 vacation days.
What is the holiday allowance?
The advertised holiday allowance is 10%.
Is there a training budget?
Yes. Employees receive €1,000 per year for training.
Are training days provided?
Yes. Creates states that employees receive at least four training days.
Is visa sponsorship available?
Visa sponsorship is not specified in the supplied vacancy information.
Is there an application deadline?
No specific closing date is provided in the supplied information.
Final Thoughts
The Creates Medior Data Engineer vacancy for 2026 is a strong opportunity for experienced Data Engineers who want to work in a Microsoft-focused consulting environment.
The technical stack is particularly relevant for professionals with experience across Microsoft Fabric, Azure Databricks, Azure Data Factory, Python, SQL, ETL, CI/CD, Data Lakehouse architecture and Data Warehousing.
The position offers an advertised salary of €4,135–€5,685 gross per month, alongside 10% holiday allowance, 26 vacation days, at least four training days, a €1,000 annual training budget, mobility options and home-working support.
Its flexible work structure combines time with clients, home working and office collaboration.
Candidates should pay close attention to two major eligibility conditions: this is a Medior-level position requiring at least three years of demonstrable relevant experience, and applicants must have a good command of Dutch.
For Data Engineers looking to deepen their expertise in the Microsoft data ecosystem while developing broader client-facing consulting capabilities, this vacancy is worth exploring while it remains available.
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