Unlock your potential by becoming a Data Engineer

The Data Engineer training is designed for beginners, career changers, and professionals who want to further develop their skills in data engineering, either part-time alongside their job or full-time.

Basic knowledge of programming (e.g. Python), databases, or SQL is helpful. Initial experience with data processing, ETL processes, or cloud technologies is an advantage, but not a mandatory requirement.

Before the program starts, you will take an aptitude test that assesses your technical foundations. This ensures that the training is optimally aligned with your profile and career goals.

As the training is 100% online, you will need:

• a computer or laptop
• a stable internet connection
• a webcam for live masterclasses

Yes. Upon successful completion, you will receive recognized certificates that validate your qualification in data engineering and improve your chances on the job market.

Thanks to our partnership with Université Paris Panthéon-Sorbonne, you will also receive an academically recognized university certificate from an internationally renowned institution.

In addition, you will receive a Liora certificate of completion confirming your hands-on Data Engineer skills, as well as module certificates after each successfully completed module – ideal for your CV and LinkedIn profile.

The Data Engineer training can be financed flexibly:

• Education voucher (Bildungsgutschein): If you are unemployed, seeking employment, or at risk of unemployment, you may be eligible to finance your training through an education voucher from the Federal Employment Agency (Agentur für Arbeit) or the Jobcenter. In this case, 100% of the training costs are covered.
• Installment payments: Alternatively, you can finance the training yourself. We offer flexible installment plans to make your investment easier to integrate into your daily life.
• Employer-sponsored financing: Many companies support the part-time training of their employees. The Qualification Opportunities Act (Qualifizierungschancengesetz) can also be used for this purpose.

Our advisory team will support you in choosing the financing option that best suits your situation.

The training is based on a hybrid learning concept that combines flexibility with intensive hands-on practice:

• 80% practice-oriented self-study on an interactive learning platform with real data projects
• 20% live masterclasses via video conferencing with experienced data engineers

You can complete the training:

• full-time as a bootcamp, or
• part-time alongside your job

This allows you to optimally balance your training with your professional and personal life.

Data Engineers build the technical foundation for data-driven decision-making. Typical tasks include:

• Building, maintaining, and optimizing data pipelines
• Integrating and processing large volumes of data from various sources
• Developing ETL and ELT processes
• Managing databases, data warehouses, and data lakes
• Ensuring data quality, performance, and scalability
• Collaborating with data analysts, data scientists, and cloud teams

Data Engineers are among the most in-demand tech profiles in Germany, with correspondingly attractive salary prospects:

• Entry-level salary: approx. €55,000–65,000 gross per year
• Average salary: around €70,000–75,000 gross per year
• With professional experience: often €80,000–95,000 gross per year, and sometimes more in specialized or cloud-focused roles

Actual salaries depend on professional experience, tech stack (e.g. Python, SQL, Spark, cloud platforms), industry, and region. Due to the ongoing demand for scalable data infrastructures, this role offers very strong long-term career and development prospects.