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Data Engineering Bootcamp
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Keyfacts
- Full-Time: 16 weeks (Mo – Fr, 09.00am – 6.30pm)
- Participants: approx. 15
- Coaches: 2 per bootcamp
- Location: Remote (live online)
- Course language: English
- Completion: Certificate "AWS Certified Data Engineer - Associate”
- Future job: Data Engineer, Cloud Data Engineer, Big Data Engineer, Data Pipeline Engineer, Data Architect
- Expected salary: 65.000€ - 90.000€
- 100% financing: for unemployed & job seekers
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Data Science & AI + Data Engineering Coach
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Boost your career with our Data Engineering Bootcamp
You know about analyzing data. But what about architecting the system it runs on? Data Engineering is the essential, strategic backbone of every data-driven organization. At neue fische, our bootcamp transforms you into a professional capable of building, scaling, and automating modern data infrastructure.
Intensive, Supported & Career-Oriented Training
Our program is designed to deliver maximum growth and job-readiness through personalized, high-quality instruction.
➡️ Future-proof tech stack: You'll use industry-standard tools like Apache Airflow, Spark, Kafka, and Terraform, all within the context of real-world business challenges.
➡️ Cloud & code focus: Gain expertise in foundational technologies like Python, SQL, and cloud architecture.
➡️ Full data lifecycle mastery: Learn how to work with structured and unstructured data, orchestrate complex data pipelines, and master the entire process from ingestion to delivery.
➡️ Certified for success: Launch your cloud career with an internationally recognized AWS certificate under your belt.
Why Data Engineering bootcamp?
Data Engineering offers unparalleled professional stability, high earning potential, and a role that is crucial to the success of virtually every modern tech company. Level up from simply using data to architecting the entire flow, mastering cloud technologies and advanced automation tools. Make a strategic decision for your future and career. Learn Data Engineering and neue fische, and become irreplaceable.
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Starting dates
The next dates: Data Engineering Bootcamp
Home alone? Come to campus to learn and exchange ideas with fellow learners. Just get in touch with us – happy to see you there!
Jan | 26th Jan – 21st May ‘26 | Full-Time | Remote | English | Secure seat |
|---|---|---|---|---|---|
Mar | 9th Mar – 10th Jul ‘26 | Full-Time | Remote | English | Secure seat |
Curriculum
This is what you learn in our Data Engineering Bootcamp

Build your foundation in Python and SQL
Kickstart your journey with advanced Python programming and data modeling techniques. You’ll dive deep into data structures, functional coding, performance tuning, and error handling — then transition into advanced SQL queries, relational modeling, normalization, and optimization strategies. Your learning journey starts with more than just tech skills – it begins by building a strong foundation for success. In the first week, you’ll connect with your peers, learn how to work effectively in the course, explore the IT industry and career opportunities, and discover how to use (and not misuse) AI as a tool to support your growth.
Automate and scale with Docker, Airflow, and Prefect
In this phase, you'll containerize your apps with Docker and learn how to manage workflows using Airflow and Prefect. You’ll also be introduced to dbt to build modular, testable transformations in your data pipelines.

Design secure and scalable cloud pipelines
Learn the fundamentals of cloud computing with AWS. You’ll build cloud-native pipelines using Glue, Lambda, and S3, and explore data warehousing with Redshift. Topics include identity and access management, cost optimization, and best practices in cloud architecture.

Master Spark, PySpark, Kafka, and MongoDB
Work with large-scale datasets using Spark and PySpark, and implement real-time data solutions using Kafka. You’ll also gain hands-on experience with NoSQL databases like MongoDB and understand batch vs. stream processing use cases.

Develop a capstone project and prepare for the AWS certifcation
In your final phase, you’ll integrate all your knowledge into a capstone project — building and presenting a full-stack data platform. You’ll also learn about data governance, metadata, and quality frameworks, while using GitHub Actions and Terraform to automate and deploy infrastructure. This phase includes AWS certification prep and job readiness support.
Simple and affordable
Education must be affordable. Check out all the financing options now.
Education must be affordable. And for everyone. That's why we offer three ways how you can finance your bootcamp with us, guaranteed and very easy.

These steps are important to take the course
Register as a jobseeker early
In order to receive your education voucher for your retraining from the employment agency, the Jobcenter or the Labour Office, you should register as a jobseeker at an early stage. It is therefore very important that you first make an appointment with the relevant office. It's best to do it now!
Get your educational offer from us
The next step on the way to your IT training voucher is quick and easy: Contact us! We will create an official training offer for you that you can then submit to the employment agency, the Jobcenter or the employment office.
Apply for the training voucher
Now it's down to the nitty-gritty: With the training offer we have created, you now go back to your responsible office and apply for your training voucher. As soon as it is approved, you can start your new career with us. We look forward to seeing you!

Final projects at Neue Fische & SPICED
Over 6,300 neuefische x SPICED alumni have completed a final project at the end of their studies. Join our successful graduates, and build a project that will make your CV stand out. Have a look at past projects and be inspired.
FAQ
Really good questions, helpful answers
The Bootcamp is ideal for career changers, graduates and professionals from fields such as data analytics, software, finance or marketing who want to get into data processing. You don't have to be a developer - we will provide you with preparatory material. If you are passionate about data and want to build scalable solutions, this Bootcamp is for you.
By the end of the Bootcamp, you’ll know how to design, build, and manage data pipelines and infrastructure using industry-standard tools and platforms like Python, SQL, AWS, Docker, Spark, and Kafka. You’ll be able to automate workflows, handle large datasets, and deploy cloud-native solutions. You’ll also complete a capstone project to showcase your skills and prepare for the AWS Certified Data Engineer – Associate exam.
Graduates of the Data Engineering Bootcamp are qualified for roles such as Data Engineer, Cloud Data Engineer, ETL Developer, Big Data Engineer, or Platform Engineer. As more companies invest in cloud infrastructure and data-driven decision-making, demand for skilled data engineers continues to grow across industries. You'll be equipped for positions in startups, large enterprises as well as cloud-focused teams.
Starting salaries in Germany are around €40,000, with the median being around €70,000. With experience, specialization in tools like AWS or Spark can increase your earning potential quickly.
That's a smart place to begin! Ideally, you’d want to have a foundation in basic programming and database concepts—even a bit of self-study can go a long way. Here's what will set you up for success:
Python or SQL basics: Spend 4–6 weeks learning syntax, loops, functions, and basic SQL queries (SELECT, JOIN, GROUP BY). This preps you to dive straight into data pipelines without stopping for fundamentals.
Data concepts: Familiarize yourself with tables, normalization, indexing, and the difference between OLTP and OLAP systems.
Light scripting: Practice reading/writing CSV files, JSON parsing, and basic exception handling in Python or Java.
Optional but helpful: Command-line comfort and a bit of Git. These help later when you're building pipelines and tracking versions.
Arriving with those basics means your cohort won’t sprint ahead while you’re still learning loops—so prep is a worthy investment. 💡
But even if you don’t have the time to prepare before the bootcamp, there’s no reason to worry. Just expect to invest a lot of time and effort when you start, and with the right mindset and dedication, you’ll ace the bootcamp and set off on an exciting new career path.
Using German vouchers is game-changing when upscaling for data careers. Here’s how to navigate both prominent funding sources:
Bildungsprämie: For individuals earning under €20,000 net per year. You receive up to €500 for eligible courses—check the BMBF-funded website to confirm. Many bootcamps are pre-approved, but ask to verify their Kursnet listing.
Bildungsgutschein: For those unemployed or in vocational transition, issued by Agentur für Arbeit. Apply with a clear upskilling plan and a course proposal from our Data Engineering Bootcamp - our admissions team will be happy to help you throughout this process. If approved, you'll often get full coverage of tuition and even travel costs.
Stack them: Combine both if eligible—for instance, use Bildungsprämie for preparatory e-learning and a Bildungsgutschein for the main bootcamp.
Documentation: When meeting your case worker, bring your ID, residence permit, or proof of income; plus a motivational letter explaining your career pivot. Better: highlight in-demand areas like AWS/Airflow expertise to justify investment.
Effective use of this dual approach allows you to keep financial pressure low and focus fully on building data pipelines, not worrying about costs. 🎯

What are you waiting for?
Our Student Admissions team is happy to talk with you, answer your questions, and advise you. Get in touch with us!

