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AVIROwork Programs

Google Data Engineering

Master BigQuery, Cloud Pub/Sub, Apache Beam, Dataflow, and Looker Studio on Google Cloud Platform. 10 weeks of instructor-led live training, project bootcamp, and CV marketing until you are hired.

0
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.

Google Data Engineering Course Live Instructor-Led
Google Data Track Beginner to Pro
BigQuery BigQuery SQL Dataflow & Beam Dataflow & Beam Pub/Sub Pub/Sub Streaming Looker & Composer Looker & Composer
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

BigQuery standard SQL & window functions
Dimensional modelling: star & snowflake
Nested & repeated fields
Partitioning & clustering strategy
Slot reservations & cost control
Data quality & schema evolution

02 Ingestion & Streaming

13 hours

Get data in, reliably and repeatedly

Cloud Storage staging & lifecycle
Pub/Sub topics & subscriptions
Datastream change data capture
BigQuery load & streaming inserts
Dataflow templates
Dead-letter handling & replay

03 Processing at Scale

13 hours

Transform at scale

Apache Beam programming model
Dataflow batch & streaming jobs
Windowing, watermarks & late data
Dataproc & Spark on GCP
dbt on BigQuery
Cloud Composer (Airflow) orchestration

04 Serving, Governance & Operations

12 hours

Deliver it and keep it running

BigQuery BI Engine & Looker Studio
Dataplex & Data Catalog governance
IAM & column-level security
Cost monitoring & query optimisation
CI/CD for data pipelines
A capstone streaming 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 Google Cloud data engineers.

Stage 2

Project Bootcamp

Build production-grade real-time streaming pipelines with Pub/Sub, Dataflow, and BigQuery that get peer reviewed.

Stage 3

CV Marketing

Technical Google Cloud 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 Google 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 Google Data Engineering?

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