Data Engineering Bootcamp
18 weeks to go from raw data to reliable, governed data platforms that are ready for AI. Built with the software rigour the industry expects, on a 100% free stack.
An 18-week bootcamp for people who already write SQL and Python and want to build professional data pipelines and platforms. This is not a modelling or dashboard course — it is data engineering: ingestion, storage, transformation, quality, orchestration, scale and operations. You finish with three end-to-end projects in your portfolio and the judgement to keep a platform running in production.
Next cohort
Coming soon
Investment
Curriculum
What you'll learn
Three six-week phases. Each one closes with a deliverable that goes straight into your portfolio.
Phase 1 — Data Engineering foundations
Weeks 1-6Phase 2 — The modern, governed analytical stack
Weeks 7-12Phase 3 — Scale, real time and data for AI
Weeks 13-18Who it's for
Is this bootcamp for you?
Built for people who already have a technical base and want to specialise in data.
Data or BI analyst
You know SQL and want to move from querying data to building the systems that produce it.
Backend developer
You can already code and want to specialise in data: pipelines, warehouses and analytical modelling.
DevOps or platform engineer
You run infrastructure and want to add orchestration, data quality and the modern analytical stack.
SQL Bootcamp graduate
You finished the SQL foundation at NIEVA and want the natural next step on the path.
What's included
Everything you get
What you take away during and after the 18 weeks.
Live sessions every week
18 sessions with Mike, with room for questions and code review.
Three portfolio projects
Two integrative projects and a production-ready capstone, on public GitHub.
- End-to-end batch ELT pipeline
- Governed analytical data platform
- Capstone: production-ready end-to-end platform
A 100% free stack
Everything runs locally or on free tiers with no credit card. Estimated cost to you across the 18 weeks: zero.
Private cohort community
A private channel to work through questions with the rest of your cohort.
One year of platform access
The materials stay available for a year after the bootcamp ends.
Tools
Stack
Everything runs locally or on free tiers with no credit card. Estimated cost across the 18 weeks: zero.
dbt Core
The transformation standard of the modern analytical stack: versioned, tested, documented models.
Apache Airflow
Pipeline orchestration
dlt
Ingestion with incremental loading
BigQuery Sandbox
Cloud warehouse, no card
DuckDB
Fast local analytics
PostgreSQL
The reference relational database
Python
Pandas and Polars for data
Docker
Reproducible environments
PySpark
Distributed processing
Apache Iceberg
Lakehouse on open tables
Redpanda
Kafka-compatible streaming
Soda Core
Data quality
pgvector
Vector store for AI data
Instructors
Meet your instructor
Learn from professionals with real industry experience.
Mike Nieva
I've worked with multiple companies and startups in professional web development and agentic architecture implementations. Technology instructor with 10 years of experience.
15-day money-back guarantee
If you're not satisfied within the first 15 days after the bootcamp starts, we refund 100% of your money. No questions, no complications.
Our commitment: We want you to be confident this investment will change your career. If for any reason it doesn't meet your expectations, get in touch and we process your full refund.
Ecosystems included
Bootcamp ecosystems and courses
Full access to the ecosystems and all their courses.
Data Engineering Ecosystem
Complete ecosystems, *open end to end*
Courses included
FAQ
Everything you need to know
What do I need to know before starting?
Intermediate SQL (SELECT, JOINs, aggregations, subqueries), basic Python (variables, functions, loops, data structures), basic Git and comfort in the terminal. If you're missing the base, NIEVA's SQL Bootcamp and Python Mini-Bootcamp are the direct preparation.
Is this Data Science or Machine Learning?
No. This is data engineering: building and operating the systems that produce trustworthy data. We touch data for AI in Phase 3, but from the pipeline side — not the modelling side.
What will the stack cost me?
Nothing. Everything runs on your machine with Docker or on free tiers that don't ask for a credit card (BigQuery Sandbox, Databricks Free Edition). There's no risk of surprise charges.
How many hours a week do I need?
Beyond the weekly live session, budget practice time during the week. The pipeline is built incrementally: each week adds a piece to that phase's project.
When does it start?
This cohort doesn't have a date yet. Leave your email on this page and you'll be among the first to hear the start date and the launch price.
What do I walk away with?
Three end-to-end projects on public GitHub, the judgement to design and operate production data platforms, and a path onward to the AI Engineering bootcamp.
This cohort doesn't have a date yet
Data Engineering Bootcamp
Leave your email and we'll tell you the moment enrolment opens, with the start date and the launch price.
Be the first to know
This cohort doesn't have a date yet. Leave your email and we'll tell you the moment enrolment opens — before anyone else.