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Blockchain Data Engineer (m/w/d)
Du entwickelst als Blockchain Data Engineer leistungsfähige DLT-Lösungen und smart contract-basierte Anwendungen – praxisnah und zukunftsorientiert.
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Further start dates
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The learning experience of the future for the skills of tomorrow
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Learn your way
Tailor your professional development with videos, practical exercises, group sessions, or 1-to-1 coaching.
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Learn with excellent support
It is normal to have questions. With our award-winning educational support, you will get answers whenever you need them.
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Learn from the best experts
You will learn exclusively from trainers who apply their knowledge in the industry every day.
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Learn only relevant content
Your individual learning experience takes your prior knowledge and experience into account.
Learn your way
Tailor your professional development with videos, practical exercises, group work, or 1-to-1 sessions.
Learn with excellent support
It is normal to have questions. With our award-winning educational support, you will get answers whenever you need them.
Learn from the best experts
You will learn exclusively from trainers who apply their knowledge in the industry every day.
Learn only new content
Your individual learning experience takes your prior knowledge and experience into account.
Blockchain Data Engineer (m/w/d)
Du entwickelst als Blockchain Data Engineer leistungsfähige DLT-Lösungen und smart contract-basierte Anwendungen – praxisnah und zukunftsorientiert.
Further start dates
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The training course at a glance
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Start and duration
Next start date
Part-time or full-time
1700
Lessons
Certificates
Intermediate certificates for each module
Certificate of completion
Learning formats
Online courses
1-to-1 coaching
1700
Interactive group courses
Locations
Remote
In-person at over 60 locations
Upon completion
Job search support
Free application coaching
Requirements
- Abgeschlossene Ausbildung und/oder abgeschlossenes Studium oder ersatzweise min. dreijährige Berufserfahrung in einem relevanten Bereich.
- Deutschkenntnisse auf Niveau B2
The learning experience for your future career
Next start date
Learn flexibly at your own pace
Fit your professional development around your daily life. Customise it with videos, practical exercises, group sessions, or 1-to-1 coaching.
You are in good company
Despite all the flexibility, you are not alone. You have plenty of opportunities to connect with others and can contact our award-winning educational support team at any time if you have questions.
Learn the latest content from the industry
You will learn exclusively from trainers who apply their knowledge to real-world projects every day.
Get help with your job search
Through exclusive partnerships with recruitment agencies and application coaching, you have the best chance of being invited to interviews.
Learn the way you want
Tailor your professional development with videos, practical exercises, group sessions, or 1-to-1 coaching.
Learn with excellent support
It’s normal to have questions. With our award-winning educational support, you can get answers whenever you need them.
Learn from the best experts
You will learn exclusively from trainers who apply their knowledge in the industry every day.
Learn only the latest content
Your individual learning experience takes your prior knowledge & experience into account.
What you will learn
In dieser Weiterbildung eignest du dir umfassendes Know-how rund um Blockchain-Konzepte und DLT-Technologien an. Du lernst, eigene Blockchains zu implementieren, Smart Contracts zu entwickeln und in Cloud-Umgebungen zu betreiben. Parallel vertiefst du Data Science, Machine Learning, SQL-Datenbanken und DevOps-Methoden. Abgerundet wird dein Profil durch fundierte Kenntnisse in Kryptografie, Python-Programmierung und Statistik.
Blockchain Konzepte
- Grundprinzipien und Konzepte der Blockchain
- Einführung in die Blockchain-Technologie
- Smart Contracts und deren Anwendungen
- Unterschiede zwischen öffentlichen und privaten Blockchains
- Rechtliche und regulatorische Aspekte der Blockchain
Blockchain und DLT
- Konsens-Algorithmen und kryptografische Grundlagen
- Merkle Trees und Hash-Funktionen
- Erstellen einer eigenen Blockchain mit Smart Contracts
- Elliptische Kurvenkryptographie (ECC)
- Qualifikationsprojekt Blockchain und DLT
Cloud Computing
- Grundlagen des Cloud Computing und IaaS/PaaS/SaaS
- Infrastructure as Code mit Terraform & Ansible
- Container-Orchestrierung mit Kubernetes
- Logging & Monitoring mit Prometheus & Grafana
- Sicherheitskonzepte & Compliance in der Cloud
Data Science
- Datenreinigung und -aufbereitung
- Einführung in Machine Learning und Neuronale Netze
- K-Means Clustering und Clustering-Methoden
- Hyperparameteroptimierung und Kreuzvalidierung
- Datenvisualisierung mit Matplotlib und 3D-Plots
Datenbanksysteme mit SQL
- Datenbankmodellierung und ERM-Erstellung
- Komplexe SELECTs, JOINs und GROUP BY
- Transaktionen und Nebenläufigkeits-Handling
- Indizes, Views und Performance-Optimierung
- Normalisierung und physische Datenmodellierung
DevOps Foundation
- Continuous Integration und Deployment-Pipelines
- Release-Automatisierung und Risikoreduktion
- Continuous Security und Telemetriedaten
- Anwendung von Conways Gesetz in DevOps-Teams
- Review- und Koordinationsprozesse nach den drei Wegen
Docker Praxiseinstieg
- Erstellung und Verwaltung von Docker-Images
- Der Docker-Workflow und Compose-Einsatz
- Debuggen von Containern in der Entwicklung
- Skalierung und Betrieb in Produktivumgebungen
- Docker-Architekturen und Best Practices
Kryptografie
- Symmetrische und asymmetrische Verschlüsselungsverfahren (AES, RSA)
- Hashfunktionen (MD5, SHA-Familie) und Integrität
- Digitale Signaturen und PKI
- Elliptische Kurven und ECDSA
- Auswirkungen von Quantencomputern auf Kryptografie
Lernmethoden & Prüfungsstrategien
- Zeitmanagement und Lernzielsetzung
- Effektive Lese- und Gedächtnistechniken
- Prüfungs- und Stressbewältigungsstrategien
- Motivation und Selbstanalyse
- Anwendung von Lern- und Prüfungsstrategien
Machine Learning
- Einführung in Scikit-Learn und Python-Tools
- Überwachtes Lernen: KNN, Entscheidungsbäume, Random Forests
- Unüberwachtes Lernen: Clustering-Verfahren
- Modellbewertung, Hyperparameter-Tuning und Kreuzvalidierung
- Datenvorbereitung und Feature Engineering
Methoden-Training
- Entwicklung von Future Skills in der VUKA-Welt
- Förderung von Kommunikation und Sozialkompetenz
- Selbstanalyse und Methodenkompetenz
- Anpassung an dynamische Arbeitsumgebungen
- Praktische Übungen zur Kompetenzentwicklung
Python3
- Python-Grundlagen: Datentypen, Kontrollstrukturen und OOP
- Funktionen, Module und Fehlerbehandlung
- Datei- und JSON-Verarbeitung sowie Automatisierung
- GUI-Entwicklung mit tkinter und Grafikprogrammierung
- Debugging und Entwicklung in IDLE und Thonny
Statistik
- Wahrscheinlichkeitsrechnung und Verteilungen
- Deskriptive Statistik: Mittelwert, Varianz, Standardabweichung
- Korrelation und lineare Regression
- Hypothesentests und Konfidenzintervalle
- Stichprobenauswahl und Schätzverfahren
How you will learn
Learn using interactive formats that
prepare you for your career
Everyone learns differently. Your learning experience at velpTEC combines various learning formats to be both varied and educationally sound.
Everyone learns differently. That is why your learning experience at velpTEC combines various learning formats to be both varied and educationally sound.
1-1 sessions
You will receive unlimited personal support
from your trainers at any time.
Live workshops
In topic-specific workshops, you will
dive deep into practical subjects.
Remote and on-site
Learn entirely online or at over 60 locations –
whichever you prefer.
Interactive learning content
All learning content has been developed with educational experts and offers a mix of videos, scripts, practical examples, and exercises.
Adapt your learning content to your prior knowledge
Learn new things instead of repeating old ones – you can swap out the content of your training if you already have prior knowledge.
- Abgeschlossene Ausbildung und/oder abgeschlossenes Studium oder ersatzweise min. dreijährige Berufserfahrung in einem relevanten Bereich.
- Deutschkenntnisse auf Niveau B2
Learn new things instead of repeating old ones
Your prior knowledge counts – the training content is individually adapted to you.
We are highly rated on Trustpilot
I took a data science course at VelpTEC and am very satisfied with the entire experience. The quality of the learning materials was up-to-date and practical, which helped me to understand and apply the content effectively.
The training at velpTEC impressed me with the relevance and up-to-date nature of its content, which prepared me exceptionally well for my future role as a personnel developer.
Thanks to velpTEC, I am experiencing outstanding professional developmentthat fits seamlessly into my daily work routine. I am supported by instructors who provide expert guidance along my journey.
I was able to learn a lot of new things that are now really helping me in my new job. It is also very helpful that so many practical examples are shown and worked through, such as case studies from real marketing agencies.
I learned a lot, and the technology provided worked perfectly. One advantage of the online course was the flexible scheduling. The staff and instructors were very friendly.
Sometimes I spoke with an instructor multiple times in a single day during a course, and they even provided me with tips and materials for the future. I think this on-demand concept is fantastic. It’s like Netflix for professional development.
The remote concept is great. It allows for a good work-life balance. It is also very well implemented, with daily group chats and workshops.
The onboarding for JavaScript was excellent, and I also really enjoyed diving into the complex topics of AI—especially training neural networks.
My experience with velpTEC edutainment was consistently excellent and very positive. I would give both their content offerings and their customer support 5 stars.
The instructors were always available to answer questions—friendly, patient, and incredibly helpful. I felt very well supported throughout.
The focus on learning by doing was a perfect fit for me, and the support team was always there whenever I needed help or had questions.
The training content was highly relevant and up-to-date, allowing me to expand my knowledge in a targeted way and apply it directly to my daily work.
What our alumni say about velpTEC:
The focus on learning by doing was a perfect fit for me, and the support team was always there whenever I needed help or had questions.
I took a data science course at VelpTEC and am very satisfied with the entire experience. The quality of the learning materials was up-to-date and practical, which helped me to understand and apply the content effectively.
Thanks to velpTEC, I am experiencing outstanding professional developmentthat fits seamlessly into my daily work routine. I am supported by instructors who provide expert guidance along my journey.
Get help whenever you need it.
Some topics are easier than others – that’s all part of learning. To help you make progress with challenging subjects, our award-winning educational support is always by your side.
Your career success is our goal
Strong partnerships with
recruitment agencies
velpTEC cooperates with well-known recruitment agencies that will put you forward to their clients once you have completed your further training.
1-to-1 coaching for
your application
In this 1-to-1 coaching, you will learn what HR managers look for. You will prepare for job interviews and salary negotiations.
CV and cover letter
optimisation
First impressions count. Your trainers will help you put the finishing touches to your application documents.
Learn through constant exchange with others
You have plenty of opportunities to share ideas and ask questions – whether in group discussions, the virtual learning space, one-to-one conversations, or workshops.
You also have unlimited access to our award-winning educational support if you ever need quick assistance.
top 500 for best customer service in Germany
Find your dream job faster
with our support
Exclusive partnerships with
recruitment agencies
After you graduate, our partners will proactively put you forward to well-known companies.
1-to-1 coaching for
your application
You will learn exactly what HR managers look for in job interviews and salary negotiations.
CV and cover letter
optimisation
First impressions count. Your trainers will help you put the finishing touches to your application documents.
Starting your learning journey
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1. Apply for further training
Find a topic you're passionate about and apply for further training at velpTEC today.
2. Get advice on funding
Our experts will show you how to get the best possible funding for your further training.
3. Your individual offer
Start your learning journey and gain valuable skills in future-oriented topics. Take the next step in your career.
The start of your learning journey
1. Apply for further training
Find a topic you're passionate about and apply for further training at velpTEC today.
2. Get advice on funding
Our experts will show you how to get the best possible funding for your further training.
3. Your individual offer
Start your learning journey and gain valuable skills in future-oriented topics. Take the next step in your career.
Do you have any questions?
Do you have any questions about your application or want to know more about us? No problem! If you can't find the answer to your question in our FAQs, simply send us an email with your query.
How much can I customize my professional development?
Your learning journey with us is exceptionally flexible and tailored to your needs. You can learn online or in a hybrid format, access your learning platform 24/7 as needed, and receive personal guidance from our trainers. In workshops, you will deepen your knowledge alongside others. Additionally, we provide support with funding applications, as well as job placement and career coaching once you complete your training. This creates a professional development experience that supports you individually and positions you for long-term success in the digital workplace.
How much time do the training programs require?
We offer a range of programs, from short introductory courses to in-depth, long-term training. The IT Service Manager course lasts about 3 months, while the Frontend Product Engineer program takes approximately 11 months. Other options fall in between, such as the Cloud Architect course at around 5 months or the Cybersecurity Manager program at about 6 months.
What knowledge and skills will I gain from these training programs?
The curriculum covers everything from software development and app design to IT security, cloud architecture, and Internet of Things integration. You will explore programming, database management, virtualization, and automation. In addition to building technical expertise, you will gain an overview of security and data protection requirements. All content is designed with a practical focus, based on real-world use cases to prepare you for both current and future technologies.
Why are career opportunities in the IT sector particularly high after completing further training?
The demand for qualified IT professionals has been growing for years and will continue to intensify. Whether in software development, cloud infrastructure, cybersecurity, or data management, companies rely on expertise across all areas. By completing further training with us, you will build practical skills that are proven to be in high demand in the job market, providing you with security for your professional future.
What career paths are available after completing training in IT and Digital Foundations?
Our advanced training programs qualify you for key roles in a digitalized working world. These include positions such as Cloud Architect, Fullstack Developer, IT Security Specialist, Cybersecurity Manager, or Data Protection Officer. Depending on your specialization, you will work in the development, administration, or security of complex systems, opening up diverse entry-level and career advancement opportunities across the entire IT industry.
IT & Digital Foundations: Detailed training description
IT & Digital Foundations: Training for your future
At a glance
- At velpTEC you will find modern, practical, and fully fundable IT training courses with lifetime access to learning materials and personal support.
- Innovative learning concepts and workshops with industry experts provide you with up-to-date knowledge in digital transformation and support you on your career path.
IT training opportunities
The digital transformation opens up numerous paths to professional success. Today's IT training courses offer far more than just programming skills: you can specifically
- acquire skills in artificial intelligence,
- app and web development,
- or blockchain – all tailored to your individual needs.
With our hybrid learning model, you can set your own pace. Benefit from
- practical content,
- modern learning platforms,
- and direct interaction with professionals and fellow learners.
Whether you are starting your career, changing fields, or are already experienced in IT: further training helps you gain up-to-date expertise and open up new career paths.
Why is IT training so important today?
IT proficiency is among the most in-demand skills in the job market. New technologies such as Artificial intelligence, cloud computing, or blockchain are rapidly changing job profiles: across all industries in Germany, there is already a shortage of more than 100,000 IT specialists¹.
Companies are looking for employees who understand and actively help shape new technologies. Through regular professional development, you can keep your knowledge up to date and boost your employability.
An easy start to professional development
Do you have no prior IT knowledge? That’s no problem! Many training programs start with the fundamentals of
- computer science,
- networking,
- and programming.
Professional instructors will guide you step by step—all you need is curiosity and a healthy appetite for learning.
IT expertise
If you already have some initial experience, you can use specialized advanced training to become a sought-after expert. These courses provide
- industry know-how,
- agile methods,
- and practical tools.
Many of these Future Jobs Classes can be taken while working and fit perfectly into any lifestyle.
Career advantages and professional prospects through IT training
Practical training opens up new opportunities for future-oriented roles – for example as an
Many measures are tailored to current job requirements and provide you with the know-how for digitalization, cloud services, AI projects, or IT management.
Through our approach of lifelong learning , you can continuously adapt to new technological developments and keep your qualifications up to date. Testimonials show that further education can be flexibly integrated into your everyday professional life.
FAQ
How does further education in the field of digitalization work and who is it suitable for?
Most educational programs combine online learning, practical projects, and recognized certificates of completion – suitable for all experience levels.
How long does IT training take and what qualifications are available?
The duration ranges from a few weeks to several months (for specializations). Qualifications include institute certificates, vendor certifications and professional credentials.
Source
¹ Handelsblatt (2025). How AI is changing the job market for young IT professionals. https://www.handelsblatt.com/meinung/kolumnen/kuenstliche-intelligenz-wie-ki-den-arbeitsmarkt-fuer-junge-it-fachkraefte-veraendert/100168429.html
What will I learn in the Blockchain Data Engineer training program?
Analyze blockchain data, evaluate smart contracts, and scale decentralized systems: The Blockchain Data Engineer training program at velpTEC
Every transaction in a distributed network creates a cryptographically secured data trail. Blockchain Data Engineers ensure that this on-chain data is transformed into actionable insights for analysis, reporting, and data-driven decision-making.
With a Blockchain Data Engineer training program, you will open up a technically demanding career field centered on
- distributed ledgers,
- data engineering,
- and cloud infrastructure.
Discover how blocks, hashes, and smart contracts become robust data products.
Key information at a glance
The Blockchain Data Engineer training program provides you with the technical expertise for blockchain, distributed ledger technologies, and data-driven applications. You will develop skills in
- cloud computing,
- data science,
- SQL,
- DevOps,
- Docker,
- cryptography,
- Python
- and statistics.
Additionally, you will build the competencies to structure and evaluate blockchain data, making it usable for analysis and digital products.
- Blockchain concepts
- Blockchain and DLT
- Cloud computing
- Data science
- Database systems with SQL
- DevOps foundation
- Practical introduction to Docker
- Cryptography
- Learning methods and exam strategies
- Machine Learning
- Methodology training
- Python 3
- Statistics
Start your professional development at velpTEC now!
Future-proof Web3 skills for innovative software developers
A Blockchain Data Engineer develops data solutions for blockchain and DLT applications. You
- build data pipelines from the node to the dashboard,
- read blocks, transactions, and events
- and prepare this information for analysis, reports, and data-driven applications.
In doing so, Do you work at the intersection of software development, data architecture, and technical operations?
A Blockchain Data Engineer training program prepares you to professionally deploy smart contracts, on-chain data, and cloud infrastructures. The demand for qualified professionals is high, as companies require technical expertise, data literacy, and practical implementation experience for their blockchain projects.
- Extract on-chain data from nodes and RPC interfaces
- Build ETL pipelines for transactions, blocks, and events
- Develop, test, and evaluate smart contracts
- Design data models for relational and graph-based analysis
- Provide indexing and query layers
- Operate containerized pipelines in cloud environments
- Ensure data quality, monitoring, and alerting
- Detect suspicious transaction patterns using statistics and machine learning
What aspiring data architects need to know about on-chain data, distributed ledgers, and ETL pipelines
A distributed ledger stores transactions in a continuous block structure. Each new block references the previous one via a hash value. This creates a highly stable data history that can be tracked and audited.
The Federal Network Agency particularly highlights the high data integrity and transparency of such systems. For you as an aspiring data architect , this means you are working with a source that contains a wealth of valuable information but is initially technically complex and difficult to analyze.
A scientific review on blockchain data analysis illustrates just how large these data volumes can become. As of March 2025, an Ethereum archive node required approximately 21,358 gigabytes of storage.
The Solana ledger exceeded the 150-terabyte mark as early as the beginning of 2024. These figures make it clear why blockchain data only becomes usable for business departments once you structure, clean, and transfer it into suitable analysis systems.
To do this, you use ETL pipelines. In the first step, you query data from nodes, for example via interface providers such as
- Infura,
- Alchemy
- or Chainstack.
Next, you convert raw technical data into readable information . Smart contract calls are decoded using the Application Binary Interface, turning hexadecimal data into understandable fields. You then store the processed results in analytical systems that enable fast queries and evaluations.
In the Blockchain Data Engineer training program, you will develop an understanding of how to turn raw blockchain data into reliable data products. You will work with database modeling, SQL queries, JOINs, and indexes to build a processing pipeline that makes data accessible for analysis, dashboards, and business decisions.
Start your training at velpTEC now!
Indexing and graph databases: Successfully establishing transaction data in decentralized networks
A blockchain stores transactions chronologically. For targeted analysis, you need additional structures to make specific contracts, addresses, or events quickly searchable.
Indexing makes exactly that possible: Relevant events are continuously captured, converted into a suitable schema, and made available via structured queries. This allows you to evaluate large volumes of on-chain data instead of laboriously searching through individual blocks step by step.
In addition to tabular reports, graph-based visualization is becoming increasingly important. Here, addresses are represented as nodes and transactions as directed edges between these nodes. This allows you to identify
- money flows,
- recurring patterns,
- and suspicious clusters much more easily.
Techniques such as wallet clustering or the analysis of dense subgraphs help you map complex movements within a network in a clear and understandable way.
In the Blockchain Data Engineer training program, you will focus on data modeling, structured queries, and analytical methods that support both classic table models and graph structures.
Responsible data modeling by smart blockchain data engineers
Data protection is blockchain applications particularly challenging, as entries are stored permanently and can be viewed by many participants.
- The Federal Network Agency describes a fundamental conflict of objectives regarding the right to erasure and the immutability of such systems.
- The European Data Protection Board also recommends carefully reviewing personal data and prefers storing it off-chain whenever data protection principles are involved.
For you, responsible data modeling therefore begins in the concept phase. You determine which information should truly be stored on-chain, when a hash reference is sufficient, and which data is better kept in secure off-chain systems. Data minimization, defined responsibilities, and a data protection impact assessment before processing begins will help you with this.
Security and resource issues are also part of your assessment. The Federal Office for Information Security emphasizes that blockchain applications should always be evaluated based on their specific use case. In this training course you will therefore explore
- regulatory requirements,
- IT security
- and responsible architecture.
Smart Contract Analytics and Fraud Detection: Security Patterns for Data Analysts
Smart contracts automatically execute predefined if-then rules. This is precisely why errors in logic, access control, or workflow management can have significant financial consequences.
OWASP categorizes smart contract risks based on real-world incidents: For 2024, damages of approximately 1.42 billion US dollars were recorded across 149 cases. Particularly high losses resulted from weaknesses in access control, followed by logic errors and reentrancy attacks.
Another analysis of major smart contract incidents between 2022 and 2025 shows that risks arise at multiple levels. In addition to code errors,
- economic design,
- protocol logic,
- governance,
- and external dependencies also play a critical role.
For you, this means: You evaluate smart contracts as both a technical system and part of a larger network involving financial transactions, permissions, and dependencies.
Fraud detection is designed to address exactly that. By analyzing contract calls, transaction patterns, and address relationships, we can identify features that signal suspicious behavior. A study on Ethereum fraud detection utilized a graph convolutional network for this purpose, reporting an accuracy of 96 percent. Our Blockchain Data Engineer training program provides you with the fundamentals in feature engineering, model evaluation, and data-driven pattern recognition.
Start your training at velpTEC now!
Scalable data architectures in the modern Web3 environment
Scaling in the Web3 environment involves both infrastructure and data architecture.
The Federal Network Agency highlights the difference quite clearly: Bitcoin processes about three transactions per second, while VISA reaches around 2,000. Layer 2 technologies are designed to overcome exactly this limitation.
A survey on data availability in rollups cites a throughput of 4,000 to 10,000 transactions per second for optimistic rollups, and 2,000 to 4,500 for ZK-rollups. Furthermore, the two approaches differ in how they handle settlements: ZK-rollups allow for direct withdrawals, whereas optimistic rollups operate with a challenge period of up to one week.
For you as a blockchain data engineer, this development has direct consequences. The more transactions that run through Layer 2 systems, the more complex data ingestion, storage, and analysis become.
Data availability costs are particularly significant. Around 80 percent of transaction costs are incurred by publishing data on the base layer. Blobs introduced with EIP-4844 are 128 kilobytes each and allow for up to 16 blobs per block. This results in a capacity of up to two megabytes per block.
Specialized availability layers are also changing technical planning. The aforementioned review paper describes cost reductions of approximately one hundredfold.
For your data pipelines, this means: You need
- repeatable deployment,
- scalable infrastructure,
- resilient monitoring
- and traceable logging.
Content from cloud computing, containerization, and DevOps provides you with the foundation to build high-performance, stable, and scalable blockchain data pipelines.
Excellent career prospects for certified graduates in the global job market
With a Blockchain Data Engineer certification, you build a profile that covers data engineering, distributed ledger technology, and technical infrastructure. You qualify for roles in FinTechs, crypto custody, trading platforms, banking, insurance, energy, logistics, supply chain management, consulting, and blockchain analytics.
With growing experience you can manage larger data platforms, technical standards Help shape the future and take on professional responsibility. Potential career paths lead you to become a
- Data Architect,
- Lead Data Engineer
- or Blockchain Analytics Specialist.
Knowledge of data pipelines, cloud infrastructure, smart contracts, analytical methods, and secure operations is particularly valuable here.
Key figures at a glance
- In 2024, there were approximately 1.52 million ICT specialists employed in Germany.
- Compared to 2014, this represents an increase of 463,000 people.
- This is an increase of around 70 percent.
- The median annual salary for data engineers is around 56,000 euros gross, depending on the survey.
- The salary range is approximately 48,900 to 66,200 euros gross per year.
- The starting salary is around 51,000 euros gross per year.
- Another survey indicates a median monthly salary of approximately 5,848 euros gross.
- The monthly range is approximately 5,186 to 6,595 euros gross.
- With more than nine years of professional experience, earnings reach around 6,595 euros gross per month.
- There is currently a shortage of around 109,000 IT specialists in the German economy.
- An open IT position remains vacant for an average of about 7.7 months.
- Around 27 percent of IT positions are filled by career changers.
Start your career with a Blockchain Data Engineer certification program
Training to become a Blockchain Data Engineer follows a learning concept tailored to your goals. You will receive a personalized learning path customized to your prior knowledge and learning style. You can study online with 24/7 access, visit a location near you whenever you like, or simply combine both. Furthermore, you can choose between full-time or part-time training.
We provide expert guidance and ongoing support throughout your entire journey. We are also happy to remain your primary point of contact even after you finish.
Look forward to a high degree of practical relevance and top-tier quality standards. The training content is structured so that you can apply your knowledge directly in workshops, case studies, and projects.
Future-oriented topics such as artificial intelligence, big data, blockchain, sustainability and green tech are fully integrated. Classes are taught by highly qualified instructors designed and supported by a supportive learning environment . Depending on your personal circumstances, funding is available, potentially covering the full cost.
Start your training at velpTEC now!
FAQ
What programming skills or data-technical foundations are required for applicants to this Blockchain Data Engineer training program?
You will benefit from initial programming experience, ideally with Python. Basic knowledge of databases, structured data, and simple queries will also make it easier for you to get started. Proficiency with the command line, logical thinking, and an interest in technical processes will provide additional support. Prior knowledge of blockchain can be helpful; core fundamentals of DLT, cryptography, and statistics are built up systematically during the course.
What practical Web3 projects and use cases do participants work on during this intensive training program?
Throughout the training, you will work with practical content from the Web3 and data engineering landscape, where theory and application are closely integrated. You will explore blockchain structures, data models, analytics, and technical processes relevant to real-world business scenarios. This allows you to develop a step-by-step understanding of how technical concepts are transformed into usable data solutions.
In which FinTechs and technology sectors is there currently the highest demand for qualified Blockchain Data Engineers?
You will find attractive opportunities primarily at FinTechs, crypto custodians, trading platforms, and analytics providers. Banks, insurance companies, payment service providers, energy companies, logistics firms, and consultancies are also building expertise in blockchain data. Further prospects are emerging in technology companies and public institutions that are advancing digital credentials, identity solutions, or data-driven DLT applications.
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