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AVIROwork Programs

AWS Data Engineering

Master modern cloud data architecture with Amazon S3, AWS Glue, PySpark on EMR, Iceberg, and Amazon Redshift. 10 weeks of instructor-led live training, project bootcamp, and CV marketing until you are hired.

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hours of live training
0 weeks
at one hour a day, weekdays
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modules
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topics covered

Before you start

Beginner-friendly. If you are not sure whether that describes you, the consultation exists to answer exactly that — and to tell you if a different programme is the better start.

Price

India ₹49,999
United Kingdom & EU £500
Canada $1,250

GST included — the price shown is the price you pay. This covers the training stage. The bootcamp and placement stages are priced separately.

AWS Data Engineering Course Live Instructor-Led
AWS Data Track Beginner to Pro
Amazon S3 & Glue S3 & Glue ETL EMR Spark PySpark & EMR Redshift Amazon Redshift MWAA MWAA & Iceberg
Book Free Consultation
Structured Roadmap

A module-by-module breakdown

4 modules  •  24 topics covered

Everything covered in the program, in the order you'll cover it.

01 Data Modelling & SQL

12 hours

The warehouse fundamentals the tools sit on

Advanced SQL & window functions
Dimensional modelling: star & snowflake
Slowly changing dimensions
Columnar formats: Parquet & ORC
Partitioning & compression strategy
Data quality & schema evolution

02 Ingestion & the Data Lake

13 hours

Get data in, reliably and repeatedly

S3 data lake layout & lifecycle
AWS Glue crawlers & Data Catalog
Glue ETL jobs & bookmarks
Kinesis Data Streams & Firehose
Lake Formation permissions
DMS for database replication

03 Processing at Scale

13 hours

Transform at scale

PySpark on AWS Glue & EMR
EMR cluster sizing & Spot capacity
Apache Iceberg table format
Athena federated queries
Step Functions orchestration
Managed Airflow (MWAA)

04 Redshift, Serving & Operations

12 hours

Deliver it and keep it running

Redshift architecture & distribution keys
Redshift Spectrum & materialised views
QuickSight dashboards
Cost & performance tuning
CI/CD for data pipelines
A capstone lakehouse pipeline

The AVIROwork 4-Stage Placement Pathway

Every AVIROwork program follows a proven four-stage pathway engineered to take career switchers from zero experience through to placed UK tech professionals:

Stage 1

Live Training

50 hours of instructor-led evening and weekend classes led by senior UK AWS cloud data engineers.

Stage 2

Project Bootcamp

Build production-grade AWS lakehouses and streaming ingestion pipelines with Glue & EMR that get peer reviewed.

Stage 3

CV Marketing

Technical AWS data engineering CV rewrite, LinkedIn branding, and production GitHub portfolio polish.

Stage 4

Placement Support

Direct candidate introduction to employer networks and technical interview drills until hired.

Hands-On Portfolio

Five projects, in AWS Data Engineering

The bootcamp runs the same five stages whatever you enrolled in, so the portfolio you finish with is deep in one technology rather than shallow across several. Each is scoped, designed, built and reviewed.

01

01 · Foundations

A first build that puts the core concepts to work — environments configured, the basic workflows exercised, the fundamentals proven rather than assumed.

02

02 · Multiple moving parts

A larger solution with several components and an integration or two, applying the practices that are conventional in your stack rather than improvising.

03

03 · Architecture that scales

A design-led build: scalability, monitoring and the production-grade patterns your field actually uses, decided before they are implemented.

04

04 · An enterprise scenario

A realistic situation with services that depend on each other, security to harden and performance to tune — the kind of work that is waiting on the other side of the offer.

05

05 · Capstone

End to end, everything together: planned, designed, built, deployed and documented well enough to sit at the top of your GitHub profile.

What's included

Everything in the programme

The same seven things in every programme on the site — the subject is what changes.

Live training

Taught live by a practitioner, not pre-recorded video you work through alone.

50 hours

Per programme as standard — 60 for IT Support Analyst, 70 for the AI Consultant and cloud engineering tracks.

Projects

Five briefs in your own stack, each scoped, designed, built and reviewed the way a delivery team would.

Mentoring

One mentor who stays with you for the whole programme, rather than whoever is free that week.

Resume & LinkedIn

Both rewritten around the work you actually built, and positioned for the roles you are targeting.

Interview prep

Mock interviews on the technical and the competency side, including defending the projects you built.

Placement support

Your profile put in front of employers, and the search continues until you are hired.

Ready to talk through AWS Data Engineering?

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