Data Engineering on AWS Training in Germany

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From €3,900 +TAX
  • Upcoming Date:
  • UK & Germany Based Global Training Provider

Data Engineering on AWS is a 3-day intermediate course designed for professionals who want to master data engineering solutions using AWS services.

Through hands-on labs, theory, and real-world exercises, participants learn how to design, build, optimize, and secure modern data architectures — including data lakes, warehouses, and pipelines (batch and streaming).

The course prepares learners for the AWS Certified Data Engineer – Associate certification.


Prerequisites

Participants should have:

  • Basic understanding of machine learning concepts,

  • Familiarity with Python and common data libraries (NumPy, Pandas, Scikit-learn),

  • Knowledge of cloud computing and AWS fundamentals,

  • Experience with SQL recommended,

  • Familiarity with Git is beneficial.

Who Should Attend

This course is ideal for:

  • Data engineers and architects working with AWS,

  • Professionals building or managing large-scale data platforms,

  • Teams migrating on-premises data infrastructure to AWS,

  • Candidates preparing for the AWS Data Engineer Associate (DEA-C01) exam.

What You Will Learn

By the end of the course, participants will be able to:

  • Understand data engineering roles and key AWS services,

  • Design and implement data lakes and warehouses on AWS,

  • Apply performance tuning, orchestration, and security best practices,

  • Build and manage batch and streaming data pipelines,

  • Optimize data architectures for scalability, cost, and compliance.

Training Outline

Day 1

Module 1: Data Engineering Roles and Key Concepts

  • Role of a Data Engineer
  • Key functions of a Data Engineer
  • Data Personas
  • Data Discovery
  • AWS Data Services

Module 2: AWS Data Engineering Tools and Services

  • Orchestration and Automation
  • Data Engineering Security
  • Monitoring
  • Continuous Integration and Continuous Delivery
  • Infrastructure as Code
  • AWS Serverless Application Model
  • Networking Considerations
  • Cost Optimization Tools

Module 3: Designing and Implementing Data Lakes

  • Data lake introduction
  • Data lake storage
  • Ingest data into a data lake
  • Catalog data
  • Transform data
  • Server data for consumption
  • Hands-on lab: Setting up a Data Lake on AWS

Module 4: Optimizing and Securing a Data Lake Solution

  • Open Table Formats
  • Security using AWS Lake Formation
  • Setting permissions with Lake Formation
  • Security and governance
  • Troubleshooting
  • Hand-on lab: Automating Data Lake Creation using AWS Lake Formation Blueprints

Day 2

Module 5: Data Warehouse Architecture and Design Principles

  • Introduction to data warehouses
  • Amazon Redshift Overview
  • Ingesting data into Redshift
  • Processing data
  • Serving data for consumption
  • Hands-on Lab: Setting up a Data Warehouse using Amazon Redshift Serverless

Module 6: Performance Optimization Techniques for Data Warehouses

  • Monitoring and optimization options
  • Data optimization in Amazon Redshift
  • Query optimization in Amazon Redshift
  • Orchestration options

Module 7: Security and Access Control for Data Warehouses

  • Authentication and access control in Amazon Redshift
  • Data security in Amazon Redshift
  • Auditing and compliance in Amazon Redshift
  • Hands-on lab: Managing Access Control in Redshift

Module 8: Designing Batch Data Pipelines

  • Introduction to batch data pipelines
  • Designing a batch data pipeline
  • AWS services for batch data processing

Module 9: Implementing Strategies for Batch Data Pipeline

  • Elements of a batch data pipeline
  • Processing and transforming data
  • Integrating and cataloging your data
  • Serving data for consumption
  • Hands-on lab: A Day in the Life of a Data Engineer

Day 3

Module 10: Optimizing, Orchestrating, and Securing Batch Data Pipelines

  • Optimizing the batch data pipeline
  • Orchestrating the batch data pipeline
  • Securing the batch data pipeline
  • Hands-on lab: Orchestrating Data Processing in Spark using AWS Step Functions

Module 11: Streaming Data Architecture Patterns

  • Introduction to streaming data pipelines
  • Ingesting data from stream sources
  • Streaming data ingestion services
  • Storing streaming data
  • Processing Streaming Data
  • Analyzing Streaming Data with AWS Services
  • Hands-on lab: Streaming Analytics with Amazon Managed Service for Apache Flink

Module 12: Optimizing and Securing Streaming Solutions

  • Optimizing a streaming data solution
  • Securing a streaming data pipeline
  • Compliance considerations
  • Hands-on lab: Access Control with Amazon Managed Streaming for Apache Kafka


Why Choose Us

Experience Data Engineering on AWS in Germany through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from Germany or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Data Engineering on AWS through face-to-face Classroom Based training in Germany. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Data Engineering on AWS in Germany as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in Germany or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.


Contact us for more detail about our trainings and for all other enquiries!

Data Engineering on AWS Training Course in Germany Schedule

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
05 Oktober 2026 (3 Days)
Berlin, Munich, Hamburg, Frankfurt, Stuttgart
€3,900 +TAX
20 Oktober 2026 (3 Days)
Berlin, Munich, Hamburg, Frankfurt, Stuttgart
€3,900 +TAX
03 November 2026 (3 Days)
Berlin, Munich, Hamburg, Frankfurt, Stuttgart
€3,900 +TAX
05 November 2026 (3 Days)
Berlin, Munich, Hamburg, Frankfurt, Stuttgart
€3,900 +TAX
10 November 2026 (3 Days)
Berlin, Munich, Hamburg, Frankfurt, Stuttgart
€3,900 +TAX
17 November 2026 (3 Days)
Berlin, Munich, Hamburg, Frankfurt, Stuttgart
€3,900 +TAX
06 Dezember 2026 (3 Days)
Berlin, Munich, Hamburg, Frankfurt, Stuttgart
€3,900 +TAX

Germany serves as the industrial and technological heart of Europe, where precision engineering meets high-tech digital innovation. Cities like Berlin, Munich, and Frankfurt are world-renowned for their contributions to automotive software, SAP systems, and Industry 4.0 frameworks. Supported by elite technical universities (TU9), the German tech landscape prioritizes security, efficiency, and scalable enterprise solutions. Our IT training programs in Germany are tailored to this culture of excellence, focusing on specialized certifications that drive corporate productivity. Whether it is mastering complex cloud infrastructures in Frankfurt's financial district or exploring IoT in Munich, we provide the technical expertise required to sustain Germany's status as a global leader in engineering and software.

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