Data Engineer Weiterbildung

Promising prospects in big data management

Data Engineer Kursinhalte

Keyfacts

  • Full-time: 12 weeks (Mon - Fri 9 am - 6 pm)
  • 540 teaching units (1 UE = 45 min)
  • Free Laptop at the start of the course (you can keep it)
  • 100% Eligible

Techstack

PythonSoftskillsNachhaltigkeits IT,DatenbankenModelle

Who can apply for our data engineer bootcamp?

The task of a Data Engineer is to collect, process and review data as an essential basis for big data, data warehouse and analysis projects. Data Engineers are essential employees in modern, data-driven companies. It is an important area to make the best use of so-called big data.

They play an essential role in the advancement of the corporate objectives and the success of the company. Likewise, a Data Engineer constantly improves the existing databases and the algorithmus used, thus constantly developing the analysis of the data.

Prerequisites for the profession are a technical interest, basic knowledge of programminginsight into data processing, and an understanding of data processes.

With increasing digitalisation, the need for employees familiar with IT, data, data security and the technical processing of data and its constant optimisation is also growing. In this regard, the career opportunities for a Data Engineer are very high.

Why choose Greenbootcamps?

Intensive qualifications and excellent job opportunities

In just 18weeks you will achieve a significant increase in knowledge in the sought-after area of ​​Business / Artificial Intelligence. This market is growing rapidly and offers you excellent career prospects as there are few skilled workers and educational institutions in this sector.

Focus on sustainability and career coaching + global network

The bootcamps integrate the topic of Green IT and give you an insight into how big data can contribute to sustainability. Thanks to the international focus of Greenbootcamps, you gain access to an extensive network of potential employers. Our career coaches will support you in your job applications.

Flexible working conditions and social commitment

With the skills from the boot camp, you can work from anywhere and at any time. In addition, Greenbootcamps supports disadvantaged foreigners and offers scholarships for motivated students from African countries.

Dein Zertifikat

Upon successful completion, the participant will receive an internationally valid certificate from Greenbootcamps as well as an evaluation of their performance. We also offer the following international certificates: Microsoft Power BI, Microsoft Azure, AWS – depending on the field and specialization.

Logo Microsoft Fundamentals

Your tasks in the company upon successful completion

Grüne 1
A Data Engineer creates the link between hardware and data processing by monitoring data sources and preparing the existing data, not only to manage it but to prepare it for analysis and interpretation.
Grüne 2
An empathetic personality and social skills also play a role in the job profile. This is because a data engineer has contact with employees from other departments within the company, to whom facts about data and its analysis and conclusions, which are often perceived as complex by laypersons, have to be explained.

Starttermine

Mar.
March 23rd 2026

12 weeks

(teaching language: English)

Why further training in data engineering?

While data scientists analyze and interpret data, it is the data engineers who ensure that this data is accessible and usable in the first place. With the exponential growth in data volumes, the need to build robust and efficient data infrastructures is also increasing. As a result, the demand for qualified data engineers has skyrocketed in recent years. As a data engineer, a secure job with high salary potential awaits you!

Data Engineer training online

Similar to our data analyst and data science training, we also offer online training in the field of data engineering. This allows you to learn wherever you want and optimally combine your training with your everyday life.

Lateral entry into data engineering

Not everyone who is interested in data engineering comes from an IT-related discipline. With our further training, even career changers with a basic technical understanding can make the leap into the exciting world of data engineering. Our courses start with the basics and are structured in such a way that you build up technical expertise in the shortest possible time.

Your professional future as a data engineer: the foundation of the digital revolution

Data engineering plays a central role in the modern data landscape. Some of the many benefits of a career in this field include

  • Versatility: From finance to healthcare to retail, data infrastructures are needed in almost every industry.
  • Constant challenge: The world of data is constantly evolving. As a data engineer, you will always face new and exciting challenges.
  • Attractive salary: Due to their key role in data processing, Data Engineers can expect very good salaries.
  • Global demand: The skills of a Data Engineer are in demand worldwide, which opens up numerous international career opportunities.

The Data Engineering Bootcamp from Greenbootcamps:

You can expect comprehensive training that teaches you everything you need to know about modern data architectures and systems. With an additional focus on sustainability and an ITIL 4 Specialist: Sustainability in Digital & IT certificate, you can start your career in the green data revolution. Start your journey in data engineering with Greenbootcamps now!

Mit einem Bildungsgutschein der Agentur für Arbeit kannst du an unseren Bootcamps kostenlos teilnehmen.

Jetzt informieren

Werde DATA SCIENTIST: Curriculum

Dauer:

12 weeks

Unterrichtszeiten:

Monday – Friday | 9 am to 6 am (GMT)

9 days
  • Introduction  
  • Unix  
  • Git, Github 
  • Introduction in Data Analytics, Data Science, Data Engineering 
54 days
  • Introduction to Git
  • Introduction to the Jupiter Laboratory 
  • Coding Best Practices  
  • Basics:  
    • Numeric Variable Types 
    • Strings 
    • If-instruction (if, elif, else) 
    • Loops (while, for) 
  • Data Structures in Python  
    • Lists 
    • Sets 
    • Mutability 
    • Dictionaries 
    • Understanding 
72 days
  • Functions  
    • Introduction to Features  
    • Function definitions 
    • Invoking functions 
    • Lambda function 
    • Functional challenges 
  • Introduction to Pandas 
    • Pandas functionalities 
    • Pandas visualization 
    • Tutorial on functionalities and visualizations 
    • More exercises with datasets 
    • Data frames and combining data frames 
  • Introduction to Numpy  
    • Numpy functionalities 
    • Tutorial on the functionalities of Numpy 
    • Handling of data and temporal data 
27 days
  • Data Visualisation using Python 
  • Introduction to Plotly
  • Exploratory Data Analysis
  • EDA take me home challenge
45 days
  • Introduction to data warehousing, SQL basics 
  • Aggregation and joins in SQL 
  • SQL advanced: Handling text with SQL, advanced filtering
  • SQL advanced
36 days
  • Introduction to Tableau
  • Basic functionality for Tableau
  • EDA more challenge
36 days
  • Cloud Computing
  • Big Data Processing (Hadoop, Spark, Databricks
36 days
  • AWS Cloud Practitioner
  • Certificate examination
72 days
  • EDA and modelling 
  • Concepts of different regression and classification models 
  • Evaluation matrices for regression and classification models 
  • Time series model 
  • Natural Language Processing (NLP) 
  • Implement the above ML models vs. using Python packages
36 days
  • Docker & Kubernetes
  • Apache AirFlow
  • APIs (Streamlit, Flask, FastAPI)
9 days
  • Data security 
  • Introduction to agile project management, JIRA und confluence  
  • How to use ChatGPT and AI 
27 days
  • Sustainable IT operations: Determining and optimizing the IT CO2 footprint 
  • Greening of IT – Design options for an efficient and sustainable IT landscape 
  • Which product life cycle can we still afford? IT sustainability strategies for the future 
  • AI & data-driven sustainability 
81 days

Unsere green Note

Mit der zunehmenden Datenmenge steigt auch der Energiebedarf, was sich langfristig schädlich auf unsere Umwelt auswirkt. Unternehmen werden schon heute – und bald auch gesetzlich – zum ressourceneffizienten Handeln angehalten. Deshalb sind die Themen Nachhaltigkeit und Big Data, wie auch Green IT zusätzlicher Bestandteil unserer Bootcamps .

Diese Zusatzqualifikation befähigt dich, unabhängig von deinen regulären Aufgaben, Ansprechpartner:in im Unternehmen für alle Fragen rund um nachhaltiges Wirtschaften in der IT zu sein.

Windrad in den Bergen

Data Scientist: weitere Informationen

In this course, participants receive practical training and user-related skills in the field of the Data Engineer. Data Engineers develop and optimise the systems that enable Data Scientists and Data Analysts to perform their tasks and work. The course presents a variety of content and competencies needed to meet the professional requirements of a Data Engineer.

This course is aimed in particular at qualified professionals who do not yet have any experience with programming or the Python programming language.

The following modules form the basis of the knowledge transfer:

  • Exercises accompanying the lessons (independent)
  • Team-oriented group work
  • Practical examples and hands-on exercises
  • Learning success checks

Hybrid training (On-site classroom training or virtual face-to-face teaching via Teams or similar VC (Virtual Classroom).

The training is accompanied by job application support measures. Greenbootcamps has a network of companies that are looking for employees with the Data Engineer qualification.

These cooperation partners are involved in the application process from the beginning and accompany the participants during the bootcamps. Upon successful completion, they are guaranteed a permanent position.

Upon successful completion, the participant will receive an internationally valid certificate from Greenbootcamps as well as an evaluation of their performance. We also offer the following international certificates: Microsoft Power BI, Microsoft Azure, AWS – depending on the field and specialization.

You should possess basic IT skills – such as the use of Office products and the internet. Furthermore, participants should be proficient in the language used in the course (English).

Participants work with digital learning materials that they can download via the learning management system. The learning management system is online and is available to all participants during the training.

We will provide you with a Laptop. After the bootcamp have been fully paid, you can keep the Laptop.

MS Office, Internet access, advanced open-source applications (such as MS Power BI Desktop, Hadoop, Anaconda), learning management system, online communication system.

Start your bootcamp. Request offer now.