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Professional Certificate
Data Engineering
Build the pipelines every data and AI team depends on.
- Length
- 6 or 12 months
- Level
- Intermediate
- Weekly
- 8 to 12 hours
- Format
- Live cohort, Hybrid, Self-paced
- Modules
- 8 to 13
- Next intake
- To be announced
What you'll learn
Learn to design, build and operate data platforms: modelling, batch and streaming pipelines, orchestration, quality and the cloud services they run on. Projects are built the way data teams build them, with tests, code review and documentation.
By the end, you will be able to
- Model data for analytics with dimensional and wide-table designs
- Build tested ELT pipelines with dbt
- Orchestrate and schedule workflows with retries and alerts
- Process large datasets with Spark
- Design streaming pipelines and lakehouse storage
Curriculum
Switch between the 6- and 12-month options to see how the program expands. Every module includes a hands-on lab.
8 modules, 24 weeks, about 192 to 288 study hours
Core modulesCapstone
Topics
- Normalisation
- Star schemas
- Slowly changing dimensions
Lab
Model an e-commerce warehouse
Estimated effort
24 to 36 hours over 3 weeks
Skills you'll build
- Data modellingAdvanced
- ELT pipelinesAdvanced
- OrchestrationAdvanced
- SparkProficient
- StreamingProficient
- Cloud data platformsProficient
Tools and technologies
- Python
- SQL
- dbt
- Apache Airflow
- Apache Spark
- Kafka
- Delta Lake
- Terraform
- AWS
- Snowflake
Product names are trademarks of their owners, listed only to describe what we teach. No endorsement is implied.
Portfolio projects
Representative projects from the curriculum. Your capstone is scoped with a mentor around a problem you choose.
Warehouse from scratch
Model, load and test an analytics warehouse with documentation.
dbt, Airflow
Clickstream at scale
Sessionise hundreds of millions of events with Spark.
Spark
12-month option
Real-time order platform
Stream orders into a lakehouse with live dashboards.
Kafka, Delta Lake
How it's delivered
- Live cohort
- Scheduled live classes each week with your cohort, recorded for different time zones, plus self-paced lessons and labs.
- Hybrid
- Self-paced lessons with fortnightly live workshops and mentor sessions.
- Self-paced
- Study on your own schedule with deadlines for assessed work and booked mentor office hours.
Instructors
Instructor and mentor profiles for this program are published once each person's background has been verified. We don't show placeholder faces or borrowed credentials.
Admissions
- 1Submit an online application
- 2Readiness review by admissions
- 3Decision by email
- 4Confirm your place and start onboarding
Tuition
- 6-month optionPublished before intake
- 12-month optionPublished before intake
Payment options vary by country and are shown at checkout.
Tuition and payment optionsCertificate
Complete every required module, pass the assessments and the capstone review to earn the Professional Certificate.
Each certificate has a unique ID and QR code that anyone can check on our verification page.
This is a professional credential issued by Zyvora Academy, not an academic degree.
Where it can lead
Roles this program builds toward. Outcomes depend on your background, effort and local job market; we don't guarantee employment.
Data Engineer
Builds the pipelines and platforms data teams rely on.
Role details
Program questions
Syllabus
Get the full syllabus
We'll email the detailed syllabus, and the fee sheet as soon as tuition for the next intake is published.
Advisor
Speak to an advisor
Ask about fit, prerequisites or which length suits you. An advisor replies by email to arrange a call.