Boost your career with 6 months of Coaching!

Our expert coaches provide you with the knowledge and support needed to excel in your career. Whether you are transitioning into Data Engineering, aiming for a senior position, or looking to integrate engineering into your existing role, we are here to guide you.

How the Coaching works:

How the Coaching is structured:

Join now! The next Coaching starts December 9th.
This is your last chance to purchase the Coaching for the current price. Upcoming Coaching cohorts will not take place until the new year, offered at slightly higher prices. There are 8 spots available right now.

All These Benefits Included:
  • Full 6 months of personal mentoring
  • Individualized learning plan based on your career goals
  • Working on Data Engineering projects with real-world data
  • Interactive Zoom group sessions with experienced trainers
  • Personal support via our private Discord server
  • Unlimited access to the Learn Data Engineering Academy with all current and future courses
  • Support with CV creation and project documentation
  • Exchange with fellow students
Select Payment Method
One-Time Payment:

$1,499*

or

3 Month Payment Plan:

$549/month*

*excl. local tax

Mentoring from Expert Coaches

Arockia and Santiago went through our program a few years ago and established themselves as professionals in their field.

Constantly trained and supported by Andreas, they are experts in helping you succeed.

Andreas


Andreas is a seasoned expert in the field of Data Engineering with hundreds of hours of coaching experience, supporting individuals and organizations excel in this critical domain. With his extensive Learn Data Engineering Academy, Andreas already helped over 2,000 students from 98 countries achieve their goals.

With more than 8 years of experience in Corporate Data Science, 14+ years of experience in Computer Science and IoT, and working as Data Engineering and Data Labs Team Lead, Andreas brings a wealth of knowledge and practical insights.

Andreas' expertise has been recognized globally, earning him the prestigious LinkedIn Top Voice title in Data Science & Analytics for the years 2018, 2019, and 2024. He is also a prominent YouTuber with over 180k subscribers and the host of the Plumbers of Data Science podcast, where he shares his expertise and engages with a vibrant community of data professionals.


Say hello on:

LinkedIn, YouTube, Instagram, Twitter, Facebook

Arockia & Santiago


Arockia is a Data Engineer based in Germany. He began his career as a Data Access Tester and Developer in India in 2012.

After moving to Germany for his Master's degree, Arockia has worked in various roles, including Data Engineer, Database Developer, and DevOps Consultant.

As of January this year, he has founded his own consultancy, ZippyTec, offering consultancy and coaching services to individuals and companies in Data Engineering and Database Migrations.

Connect with Arockia on LinkedIn.


Despite starting his career as a Medical Doctor in Argentina, Santiago has proven himself to be a passionate and enthusiastic engineer.

He has keen interest in exploring innovative solutions, always eager to stay up-to-date with the latest advancements in the field.

Santiago works as a Data Engineer in an IT Consulting company where he excels in conceptual data design, BigQuery, and Dataflow.

Connect with Santiago on LinkedIn.


Platforms & Tools

This is a selection of platforms and tools we use often in the Coaching program.

Platform AWS Azure GCP Major Platforms
& Tools
Data Integration API Gateway
S3 Folders
AWS Glue
API Management
Data Factory
Cloud Endpoints FastAPI
Message Queues Kinesis Data Streams
Kinesis Firehose
Event Hub Pub / Sub Apache Kafka
Processing Lambda
Glue
ECR and Fargate
Functions
Data Factory
Cloud Functions
Compute Engine
Data Flow
Dataproc
Apache Spark
dbt
Airflow
Docker
Storage S3
RDS
DynamoDB
Redshift
Athena
CosmosDB
Cloud Storage
BigQuery
Cloud SQL
Snowflake
Databricks
InfluxDB
MongoDB
Visualization QuickSight Power BI Looker Studio Grafana
Kibana
Main Languages Python, SQL

Our previous students started as:

  • Data Scientists
  • Data Analysts
  • ETL Developers
  • Software Developers
  • System Administrators
  • Database Administrators
  • E-Commerce Analysts

Selected Student Projects:

Join the Data Engineer Coaching Program Now!

The next Coaching session is kicking off December 9th with 8 spots available.

Secure your spot and enroll now!

Don't miss your chance and start your journey towards success.





You have a question?

If you have questions regarding the Coaching program, please send us a quick email.
We're happy to help :)

Feedback from our students


"Andreas really helped me get into data engineering as a beginner."

David P.


"I totally love the Zoom calls. This way I not only learn from doing my own project, but I can also learn from the other students' project."

Tilek C.


"I found a Data Engineer job within weeks of starting the coaching"

Cathy D.


"During the membership with Andreas, I was able to refine my Data Engineering skills. I can now quickly identify the tools required for a use case and plan to implement data pipelines."

Prakash D.


"Trough Andreas' support I was able to start my project at work within a few weeks."

Kunal S.

Frequently Asked Questions

How long do I have to complete the Coaching?

You will have access to the Coaching sessions for 6 months. After the Coaching you will still have unlimited access to all current and future courses of our Academy.

How does the Coaching work?

In the Coaching we go through all the important topics of the Learn Data Engineering courses within the 6 months to build your project. Every week you book the Coaching calls with our trainers. These calls are available based on the individual trainers availability. Sessions will be in this time frame 3pm - 6pm CEST (International times: NY -6h, SF -9h, BGL +3.5h) Sessions with Andreas will be for instance Friday 4pm CEST (10am EST, 7am PST) In between the calls you: - Work on the worksheets of the modules or build your project. - Document your learning in blog posts or videos - Work on your GitHub

How are the Zoom calls working?

The Zoom calls are group sessions with maximum 5-10 people. The session with the individual trainers can be booked through Calendly. The goal within the calls is to mentor you on your journey, get you unstuck, point you in the right direction, and give feedback to you on how you are doing. Bombard the trainers with questions. These are not coding sessions though. Coding help should happen through Discord or at the end of a session.

Will the sessions be recorded?

We record all the calls so I can take interesting bits and put them up in the course for "normal" members. I also put interesting bits from the office hours on my YouTube channel for others to learn. Your face or your personal information will never be shown in the videos. Your voice might be in the video if you ask a great question.

How often can I attend the calls?

You can basically join as often as you like. The best students usually join at least once a week. Remember: you need to spend time on doing and documenting your project!

Can I upgrade to the Coaching as an Academy member?

Yes, this is no problem! Just send an email to [email protected]. We will send you a coupon which reduces the price of the Coaching by the amount you already paid for the Academy.

Is the Coaching right for me?

The Coaching is right for you: If you are interested in the Plumbing of Data Science and want to apply it in your future. We have helped many members and Coaching students who work as Data Scientist, Data Analyst, Database Administrator, Software Developer as well as graduates who are searching for Data Engineering jobs. Don't book the coaching: If you are looking to learn Machine Learning algorithms.

Is the Coaching useful for Data Scientists?

Of course! Data Scientists often work with Data Engineers and need to understand Data Engineering tools and techniques. This knowledge can be very beneficial for a job search. Also many Data Scientists need to do Data Engineering tasks, especially in early stages of a project. Like building a demonstrator for a proof of concept. Data Scientists often build and maintain platforms and pipelines when there is no dedicated engineering team set up yet. Please keep in mind though this is an engineering program. You will not learn about Machine Learning and other pure Data Scientist topics in the Coaching sessions.

What basic skills do you recommend for the Coaching?

You need basic skills in one programming language (preferably Python). You also should know what relational databases are and how to use SQL.

What do I need to do the Coaching?

You need to be able to communicate in English. You need a device that is able to run Zoom video conferencing software. You need to have a microphone and camera. You need to do a project from home and time to document your work.

Do students need to create their own cloud accounts and will this incur additional costs?

Yes, you need to create your own accounts on cloud platforms. Most major platforms offer free credits or tiers; please check their websites for details, as conditions may change. Our training is designed to utilize these free tiers and credits, minimizing extra costs.

One exception is the AWS training where not all services are available in the free tier. The expected charge is usually below $10/month. We show you how to set alarm thresholds at the start of the AWS training to notify you if you exceed your limits.

Do I get an invoice after the payment?

Yes, once you join the Coaching, you will receive an invoice via email. This invoice can typically be used to get reimbursed by your employer if you have a learning budget.

Is there a monthly payment option?

Currently, you can choose between a one-time payment or three monthly payments. The three-month payment plan allows you to split the Coaching fee into three smaller installments, making it more manageable.

Is it possible to get a refund on the Coaching?

This Coaching product cannot be refunded. We are confident you will be satisfied, but if you are not, please contact us at [email protected] we'll find a way.