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Does data engineering include coding?
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Data Engineering Training New Bootcamp
Next seat available
Sep 8, 2025
Welcome to the Data Engineering Bootcamp. Learn to build scalable data solutions with modern tools – from data pipelines to cloud infrastructure. Launch your career as a Data Engineer, Cloud Engineer, or Big Data Specialist.
Course content
All content at a glance
Boost your career with our Data Engineering Bootcamp
Want to learn how to build, scale, and automate modern data infrastructure? Perfect — because Data Engineering is the backbone of every data-driven organization. In our bootcamp, you’ll gain hands-on experience with Python, SQL, cloud architecture, big data, and workflow automation. You'll learn how to work with structured and unstructured data, orchestrate data pipelines, and use industry tools like Apache Airflow, Spark, Kafka, and Terraform — all in the context of real-world business challenges.
And the best part: you’ll be guided by experienced coaches who not only teach you the tools but also help you develop the mindset of a Data Engineer. With the internationally recognized AWS certificate under your belt, you’ll be ready to launch your cloud career.
Data Engineering Training: Intensive, supported & career-oriented
Our Data Engineering program includes 2 coaches per class, 720 hours of live instruction, and project-based group work. You'll train with real-world tools and receive regular one-on-one feedback. In addition to technical skills, you'll also gain experience in agile teamwork, project planning, and presentation techniques.
At the end of the bootcamp, you'll apply everything you've learned in a 4-week capstone project: plan, build, and present a complete data platform — the ideal springboard into your new career.
Ready for your next step? Learn everything you need to become a Data Engineer — live, online, and hands-on.
Career change to Data Engineering: These are the requirements
No tech background? No problem. Whether you’ve worked in analytics, operations, or something totally different — this bootcamp is designed for career changers. All you need is curiosity, commitment, and willingness to learn the pre-requisites required for this bootcamp. And if you don’t have a laptop, we’ll provide one. We promote DiversITy 🌈 — and we welcome you, just as you are.
Keyfacts
- Full-Time: 16 Wo. (Mo – Fr, 8.30am – 6.30pm)
- Participants: approx. 15
- Coaches: 2 per bootcamp
- Location: Remote
- Language: English
- Certificates: AWS Certified Data Engineer - Associate
- Future Job: Data Engineer, Cloud Data Engineer, Big Data Engineer, Data Pipeline Engineer, Data Architect
Our coaches
Arjun Haridas Pallath
Data Science & AI + Data Engineering Coach
Tech Stack
Python
SQL
Docker
Apache Airflow
Apache Spark
MongoDB
Kafka
Terraform
GitHub Actions
Starting dates
The next dates: Data Engineering Training
Home alone? Come to campus to learn and exchange ideas with fellow learners. Just get in touch with us – happy to see you there!
Sep | 8th Sep – 9th Jan ‘26 | Full-Time | Remote | English | Secure seat |
|---|---|---|---|---|---|
Nov | 17th Nov – 18th Mar ‘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
Python
SQL
Error Handling
Functional Programming
ER Diagrams
Indexing
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
Docker
Apache Airflow
Prefect
DBT
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
IAm
Lambda
RDS
AWS S3
Glue
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
MongoDB
Kafka
PySpark
Master Spark
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
AWS Certification
Metadata
Terraform
GitHub Actions
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.
Our partner companies
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
You still have questions about the training? Then take a look here or contact us directly.
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.
Great question—data engineering is in high demand, and European salaries are competitive across markets. Here's a breakdown:
Typical Entry Roles: Junior Data Engineer, ETL Developer, Data Pipeline Engineer, or Junior Analytics Engineer.
Salary Ranges:
In Germany: €55–70k/year for juniors in Berlin or Hamburg, rising to €80k in Frankfurt or Munich.
Remote positions (EU): €60–75k+, especially with Python, Spark, Airflow, or real-time streaming experience.
Career Growth: After 2–3 years, roles like Senior Data Engineer or Data Platform Lead can pay €80–100k+. Demand is strongest in finance, health-tech, and automotive sectors.
Bonuses & Benefits: Many employers include relocation packages, paid training (e.g., Databricks), and conference attendance budgets—data engineers are viewed as strategic hires.
If you graduate with polished GitHub code, public pipeline demos, and contributions to open-source or Kaggle competitions, you enter job searches at 80–90% of mid-level rates. That’s a strong launchpad! 🚀
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!
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