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Data Engineer
Training.

Enter the world of scalable data infrastructures with the Data Engineer training course. You will learn how to reliably collect and process data and make it available for analytics, BI and AI.

Data engineer works with big data, cloud technologies and AI analyses.

What are the responsibilities of a Data Engineer ?

Data engineers build and operate the technical foundations for data-driven decisions. They develop data pipelines, model data in structured systems, ensure quality and performance and make sure that analysts, data scientists and business teams have reliable access to the right data.

Why should you complete the Data Engineering course?

With the Data Engineering course, you combine analytical understanding with solid software engineering and database skills. You will learn how to analyze data, model it in relational databases, develop robust data and processing solutions using object-oriented programming and apply modern data engineering concepts in practice. This will help you build a sought-after profile for data-driven companies.
Zertifikat
Training
Python Basics
Data Analytics with Python
Statistics basics
Learn applied data analytics basics such as programming with the Python programming language and statistics Learn applied data analytics basics such as programming with the Python programming language and statistics...
  • Develop and filter data sources
  • Consolidate and prepare data professionally
  • Perform advanced data analyses independently
  • Writing simple scripts in the Python programming language
  • Using linear and logistic regression for predictions
  • Apply best practices for effective data visualization
Info icon 9 weeks (VZ)
Language Icon Available in German & English
Zertifikat
Training
Advanced Python
OOP Design
Unit Testing
Deepen your Python knowledge with principles of object-oriented programming Deepen your Python knowledge with principles of object-oriented programming...
  • Working with selected Python libraries
  • Apply object-oriented programming with a focus on classes and attributes
  • Use inheritance for the reusability of code
  • Use advanced functions to simplify classes
  • Apply best practices for handling work processes
Info icon 6 weeks (full-time)
Language Icon Available in German & English
Zertifikat
Training
Database design
SQL queries
Backend SQL
Learn SQL and database design for advanced database queries and web development Learn SQL and database design for advanced database queries and web development...
  • Understand and implement good database design, including normalization rules and the most common schemas
  • Create data overviews with SQL
  • Writing basic and advanced SQL queries
  • Apply key functions for organizing, filtering and categorizing data
  • Apply advanced techniques for views, CTEs, subqueries and window functions
  • Optimizing the performance of queries for web development
Info icon 4 weeks (VZ)
Language Icon Available in German & English
Zertifikat
Training
Azure and Cloud Infrastructure
Apache Spark and Databricks
ETL and ELT Pipeline Engineering
Azure and Cloud Infrastructure · Apache Spark and Databricks · ETL and ELT Pipeline Engineering Azure and Cloud Infrastructure · Apache Spark and Databricks · ETL and ELT Pipeline Engineering...
  • Build a scalable cloud data infrastructure on Azure, including data warehouses, data lakes, and lakehouse architectures
  • Designing and Operating ETL and ELT Pipelines with Azure Data Factory, Synapse, Snowflake, and dbt
  • Processing Big Data with Apache Spark and Databricks for Batch and Streaming Workloads
  • Building Data Lake and Lakehouse Architectures with Delta Lake, NoSQL, and Synapse
  • Cloud Fundamentals: Using Linux and Docker Securely and Setting Up Azure VMs, Storage, and IAM
  • Embedding Data Governance Best Practices in Warehouse and Pipeline Design
  • Planning and Implementing a Complete End-to-End Data Engineering Project in the Cloud
Info icon 8 weeks (VZ)

You are a certified Data Engineer.

Upon successful completion, you will have received certificates for each of the individual training courses in the program and will therefore be a certified data engineer.

Certificate from StackFuel on data management and analysis.

Learn this tech stack

Microsoft Azure Cloud Logo for digital transformation and secure cloud services.
Snowflake logo symbol for winter, cold and crystal clear snow designs.
Icon - Backend SQL
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Python logo
Databricks logo for data analysis and AI platform in Germany.
Docker logo in black for containers, DevOps and cloud technology.
Apache Spark logo for big data analysis and machine learning platform.
DBT logo in orange for data analysis and business intelligence.
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Abstract AI background with dithering effect in modern digital design.

Average salaries in the data science sector.

Ø 50.000
Euro
Junior
Data Scientist
Ø 62,500
Euro
Midlevel
Data Scientist
Ø 80,000
Euro
Senior
Data Scientist
Source: Glassdoor 08/2026

Currently, there are over 100,000 jobs related to AI and technology that are unfilled in Germany.

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Career Service supports students with applications, career planning and career entry.

StackFuel Career Service for your job entry.

To help you stand out in this market, we support you beyond the training itself. Through our personalized career coaching, we’ll optimize your resume, craft tailored cover letters, and refine your job application strategy. With interview and soft skills training, you’ll approach interviews and assessments with confidence. Regular feedback sessions, workshops, and networking events will strengthen your profile. In addition, we’ll support you with salary negotiations and helping you define your career goals.

Data and AI expertise is in higher demand than ever.

Our hands-on training programs combine interactive live sessions with real-world project work, where you’ll gain exactly the data and AI skills that headhunters and recruiters are looking for. Data experts are in demand across all industries: With a StackFuel training program, you’ll gain the qualifications needed to enter data and tech careers with AI expertise—such as data analyst, data scientist, data engineer, or project manager—and secure access to over 109,000 open tech and AI-related jobs (Source: Bitkom Research 2025, Source: PwC 2026).

Discover careers in data analytics and data science at StackFuel.
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Data jobs overview with StackFuel logo and analysis graphics.
Marketing Analyst
Data Manager
BI Analyst
Data Analyst
Data Scientist
Financial Analyst
Product Analyst

What our graduates say.

Over 6,000 graduates have already completed data analytics and data science training courses at StackFuel. Here, some of them talk about their experience:

Beatrix Bauer
Junior Financial Data Engineer
Telefonica Germany
"With StackFuel, I was able to learn at a time that suits me, at my own pace and in a place where I feel comfortable."
Data Scientist Training Program
Dr. Pinar Toker
Data Scientist
Eraneos Analytics
"The hands-on, real-world problems at StackFuel helped me master data analysis techniques and Python programming. The focus [...] on industry-relevant skills gave me the confidence and know-how I needed for my job search."
Data Scientist Training Program
Liudmila Litger
Data Analyst
Aviv Group (HomeToGo)
"I was particularly enthusiastic about the practical projects. It was as if I had already gained practical experience before my first day at work."
Data Analyst Training Program
Daniel Hermann
Geodata analyst
GI-CONSULT GmbH
"The competent and friendly lecturers and the examples of content made me enjoy data-driven programming. The certificates (from StackFuel) are a real plus on my CV - and the skills anyway!"
Data Scientist Training Program
Amirhossein Rahimi
Data Scientist
zaplinace GmbH
"The practical, project-oriented approach makes the courses very interesting and has made my learning progress much easier."
Data Scientist Training Program
Marco Fischer
Data Scientist
mexxon Group
"The intensive work with important Python libraries and the concepts and mathematical basics taught were very good preparation for my new job!"
Data Scientist Training Program
Farbod Khiawi
Client Operations Consultant / Success Manager
AON
"What I liked best were the regular group sessions with participants and tutors. These were very exciting and beneficial for both learning and motivation."
Data Scientist Training Program
The next
start dates.
Training programTraining Date Date/Duration Model
14.09.2026
14.09.2026 7 months Full-time
Full-time Apply
14.09.2026
14.09.2026 14 months Part-time
Part-time Apply
21.09.2026
21.09.2026 7 months Full-time
Full-time Apply
21.09.2026
21.09.2026 14 months Part-time
Part-time Apply
28.09.2026
28.09.2026 7 months Full-time
Full-time Apply
28.09.2026
28.09.2026 14 months Part-time
Part-time Apply
05.10.2026
05.10.2026 7 months Full-time
Full-time Apply
05.10.2026
05.10.2026 14 months Part-time
Part-time Apply
12.10.2026
12.10.2026 7 months Full-time
Full-time Apply
12.10.2026
12.10.2026 14 months Part-time
Part-time Apply
The next
start dates.
Training
Starttermine
Data Engineer Data Engineer 14.09.26 +4 more
  • 14.09.2026
    • Full-time - 7 months
    • Part-time - 14 months
  • 21.09.2026
    • Full-time - 7 months
    • Part-time - 14 months
  • 28.09.2026
    • Full-time - 7 months
    • Part-time - 14 months
  • 05.10.2026
    • Full-time - 7 months
    • Part-time - 14 months
  • 12.10.2026
    • Full-time - 7 months
    • Part-time - 14 months
Apply

Get personal advice now.

Our team of experts will work with you to find a suitable training program and answer any questions you may have.

We look forward to seeing you!

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+8,500 graduates
93 % Completion rate
AZAV-certified

FAQ

The Data Engineer Training Program prepares you to build scalable data infrastructures, pipelines, and cloud architectures that support analytics, BI, and AI within an organization. You'll learn to develop productive data platforms using Azure, Snowflake, Apache Spark, Databricks, and dbt.

In addition, our Career Service will help you develop your application strategy so that you can effectively leverage your previous experience, individual strengths, and new skills to launch your career as a data engineer, analytics engineer, or in related cloud data roles.

This training program is designed for individuals with prior technical experience. A solid knowledge of Python, SQL, Git, and Bash is required. Experience with data analysis or BI is helpful. The program is significantly more hands-on and technical than an entry-level program.

To get started, we will conduct an initial consultation with you to understand your individual abilities, find the best training program for you and inform you about your funding options through an education voucher if you still need one. Self-paying students will receive all the important information about course start dates and payment options.

After each training session, you'll receive a certificate documenting the skills you've learned. You'll complete the program with an end-to-end capstone project in the cloud, which you'll carry out independently and present to our mentoring team.

This process ensures that you can confidently apply cloud data engineering methods, from pipeline development to lakehouse architecture. Our mentoring team of experts provides you with ongoing, personalized support to help you successfully complete the training program.