- TRAINING PROGRAM
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.
- Part time
- 7 months (VZ)
- Beginner-friendly
- German
What are the responsibilities of a Data Engineer ?
Why should you complete the Data Engineering course?
These courses are included in the training program:
- 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
- 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
- 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
- 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
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.
Learn this tech stack
AI specialist Training program
Become an expert in using AI tools and learn the basics of AI and simple automation—
If you're interested, you can also combine this with other training programs!
- Confidently apply basic AI concepts and prompting techniques in a business context
- Sound evaluation of data and AI results
- Using simple AI solutions responsibly in the day-to-day work of specialist departments
- AI safety and ethics
Data Analyst Training: AI update
Learn Data Analysis with LLM Assistance in the newly expanded Data Analytics training and prepare yourself successfully for the jobs of tomorrow.
Data Analytics
Master data analysis, Python basics, statistical analysis, regression & effective visualization to make results actionable.
LLM Assistance
Learn data analysis with GenAI Tools
The complementary GenAI trainings are available to supplement your training program and help you to use LLMs for your work as a data professional.
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LLM Assistance
Analysis with LLMs
Average salaries in the data science sector.
Data Scientist
Currently, there are over 100,000 jobs related to AI and technology that are unfilled in Germany.
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).
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:
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 |
start dates.
Data Engineer
14.09.26
+4 more
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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
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!
FAQ
What is the goal of the Data Engineer training program?
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.
How can I start my training to become a data engineer, and what are the requirements?
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.
What exams and certifications are included in the Data Engineer training program?
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.