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Senior Data Engineer

Executive Program in Data Engineering (12 Weeks)

From overseas experience to an Australian data engineering role. 12 weeks, 12 production-grade projects, and 6 months of job placement support.

  • Duration: 12 Weeks (Intensive)
  • Cohort: 20–25
  • Investment: USD $7,000
  • Cohort Starting Date:
  • Outcome: Senior Data Engineer
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Know more about Executive Program in Data Engineering

Why experienced migrants struggle — and how we solve it

Why skilled migrants get stuck — and how this program unlocks job readiness

"No Local Experience" Barrier

Our Solution

  • GIofAI offers production-level projects and ACS-aligned documentation built to Australian standards, enabling migrants to showcase credible, locally-recognized experience.
Qualification and Skills Gaps

Our Solution

  • Participants gain mastery in industry-leading platforms (AWS, Azure, Snowflake, Airflow, Databricks) through a curriculum and portfolio aligned with Australian requirements, making overseas qualifications relevant and visible.
No Genuine Australian Networks

Our Solution

  • Direct networking events and employer connections empower migrants to develop referrals and a professional network vital for career progression in Australia.
No Career-Ready Profiles and Pathways

Our Solution

  • GIofAI helps learners create ATS-aligned résumés and LinkedIn profiles, plus targeted career coaching to address profile gaps, employer expectations, and pathways effectively.

Build the Core Skills, Portfolio & Confidence to Enter Data Engineering

Why so many senior data professionals never make it to executive roles

Live Weekly Sessions

Interactive sessions with industry experts covering core concepts and real-world applications.

Hands-On Labs

Practical exercises using real datasets and industry-standard tools.

Portfolio Projects

Build board-ready artefacts: strategy decks, business cases, risk registers

24/7 Mentor Support

Get help whenever you need it from experienced data engineers.

Summary: Understand data-engineering roles, pipelines, and data lifecycles. - Learn basic SQL for querying structured data.

  • Topics: Data Engineering Foundations & SQL Basics , Advanced SQL & Relational Modeling , Python for Data Engineering , Apache Spark Basics , Real-Time Data & Cloud Infrastructure (Introduction) , SQL on Databricks (Community Edition) & Capstone Project

Summary: ∙Introduction to Distributed Data Processing ∙ ∙ ∙ ∙ ∙ ∙ ∙ ∙

  • Topics: Introduction to Distributed Data Processing , Hadoop Ecosystem Overview , Apache Spark Fundamentals , Spark Low-Level API, RDD , Actions & Transformations , DAG , Real-world example: Processing Unstructured Data using PySpark , Apache Spark High-Level API , DataFrame , Spark SQL , Programming with DataFrames (Transformations) , Spark Optimization , In-Memory Optimization , Partitioning , Bucketing , Caching , Code-Level Optimization , Performance Tuning , Execution Plans, File Formats, Resource-Level Optimization

  • Topics: Introduction to Cloud Computing , Microsoft Azure Overview, Azure Cloud Service Models (IaaS / PaaS / SaaS) , Azure Monitoring & Management Tools , Azure Core Services, Azure Storage Services , Apache Spark vs Databricks , Azure Databricks Architecture , Core Features of Databricks , Databricks Cluster, DBFS (Databricks File System), Databricks Notebooks , Databricks Utilities (fs, notebook, widgets), Databricks CLI , Mounting Azure Storage to DBFS , Accessing Azure Storage Account , Case Study:, Azure Storage Setup , Databricks Setup, Parameterized Spark App using Widgets

  • Topics: What is a Data Lake , Delta Lake Introduction , Practical Delta Table Operations , Delta Lake Architecture , Azure Lakehouse Architecture , Delta Engine , Optimization Techniques , Azure Databricks Unity Catalog , Databricks Workflows , Case Study: End-to-End Data Pipeline with Spark SQL

  • Topics: Pub-Sub Model , Real-Time Data Concepts , Kafka Introduction, Kafka Architecture & Components , Confluent Kafka , Producer & Consumer API , Spark Streaming , Real-Time Data Streaming Project

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USD $7,000 • 12 weeks • 20–25 cohort

End-to-End Pipeline

Apply all Databricks concepts (Spark, Delta Lake, SQL, Workflows, Storage). - Build a complete production-grade data engineering pipeline.

Architecture
Evaluation Rubric
Deliverables
  • • ETL notebooks (Bronze → Silver → Gold) - Delta tables with optimized storage - Dashboard-ready Gold tables for reporting - Workflow orchestration setup (scheduled pipeline) - Documentation & architecture diagram
Showcase
  • • Ingest raw files (CSV/JSON/Parquet) into Bronze layer. - Clean & transform data using PySpark into Silver layer. - Create business-level aggregations using Spark SQL into Gold layer. - Use Delta Lake features: ACID, Time Travel, OPTIMIZE, ZORDER. - Implement Unity Catalog for governance. - Orchestrate pipeline using Databricks Workflows.
Example Capstone Themes

Portfolio Outcomes

  • GitHub repository containing complete codebases for weekly labs and enterprise-grade capstone.
  • Two mini-projects + one major enterprise capstone, covering ingestion, transformation, validation, CI/CD, and cloud deployment.
  • Batch + streaming pipelines, fully integrated (API/S3/Kafka → Spark/DBT/Airflow → Lakehouse/DW).
  • Architecture diagrams, workflow designs, data lineage, and observability dashboards.
  • CI/CD automation setup using GitHub Actions/Jenkins/Terraform.
  • Data quality and governance artifacts, including Great Expectations validation suites and metadata policies.
Career Outcome: Senior Data Engineer

Program Support & Career Services

  • 6 × 1-on-1 mentorship with GlofAI-certified mentors(capped for $350)
  • Resume, LinkedIn, and portfolio workshops; two mock interviews
  • Weekly code review with line-by-line feedback
  • Industry guest lecture with Australian employer insights
  • Weekly office hours while in program
  • Monthly Career follow ups (Group)
Career Outcome: Job-ready Data Engineer

Why Choose This Program

  • Why Choose This Program: Designed with input from enterprise data leaders.
  • Real-World Projects: Hands-on experience aligned with business use cases.
  • Mentorship Access: 1:1 sessions with data architects and mentors.
  • Certification-Ready: Aligned to Azure DP-203, Databricks, AWS certifications.
  • Career Mobility: Bridge from mid-level engineering to architecture.
After Week 12, upgrade to :
  • Advanced Program — (24 weeks) — upgrade to accelerate toward Architect. — $5,000
  • Executive Leadership Program — (1 year) — upgrade to accelerate toward Head of Data — $18,000

Get Hired as "Senior Data Engineer" - Fast

Our graduates walk away with

  • Resume reviewed by industry experts
  • Portfolio proven to impress recruiters
  • GlofAI certification trusted by employers
  • Direct job leads and alumni network access
  • Confidence from mock interviews & coaching

All the Support You Need

Mentors, community, toolchains, and job launch support — all built in.

1-on-1 Mentorship

Personal guidance from pro data engineers every two weeks.

Live Office Hours & Community

Weekly group sessions + 24/7 Discord support — never get stuck alone.

Real Employer Toolkits

Work hands-on with AWS, Azure, Snowflake, Databricks, Docker, dbt, Airflow & more.

Career Launch Services

Resume, LinkedIn, portfolio workshops, mock interviews, and job leads included.

Professional Certificate

Earn an industry-recognized credential and a digital badge you can add to your LinkedIn within minutes of completion.

  • Shareable digital badge (Open Badge standard)
  • One-click verification for recruiters and hiring managers
  • Certificate ID & QR for resumes and portfolios
  • Aligned to Australian data engineering job competencies
LinkedIn-ready Verifiable Official GlofAI

Voices From Our Alumni Network

Powerful success stories that reflect the value, growth, and real-world outcomes of their journey with us.

Surekha Gaikwad

GIofAI has completely transformed the way I understand and use AI in my professional life. The guidance, mentorship, and structured learning made complex concepts feel simple and achievable. I felt supported at every step, and the hands-on approach helped me develop real confidence in applying AI tools. This program didn’t just teach me — it empowered me. I’m grateful for the clarity, motivation, and opportunities GIofAI opened for me."

Surekha Gaikwad
Graduate, AI Engineering Mentorship

Investment & Next Steps

Seats are limited to maintain quality mentorship and peer support.

USD $7,000 • all inclusive
  • 12 live sessions + 40+ hrs self-paced modules
  • 12 projects + advanced capstone; includes cloud credits
  • Career services for 6 months
  • GlofAI certificate + digital badge
Scholarships & Payment Plans

We aim to keep the program accessible. Limited scholarships and flexible plans are available.

  • Merit-based scholarships
  • Pay in full (5% discount), 2 or 4 instalments
Check Eligibility

Frequently Asked Questions

This program is designed for experienced overseas IT and data professionals who want to transition into an Australian data engineering role. Most students already have 2–8 years of experience but lack Australian-standard projects, tools, or local experience.

Yes — that is the primary purpose of the program. You receive: 12 production-grade projects A complete GitHub portfolio Resume/LinkedIn/ATS rewrite 6 months of job search support Networking opportunities + industry sessions Capstone project aligned to Australian employer expectations

No. Prior data engineering titles are not required. We start with foundations (Python, SQL, storage, ingestion) and then move into advanced topics like Spark, Airflow, streaming, CI/CD, and cloud architectures.

Most students spend: 6–8 hours per week in classes and projects Extra time during the capstone depending on your goals The program fits alongside a full-time job.

Ready to launch your data career?

Apply now or talk to an advisor. Seats are limited.

Phone : 1800 434 008
Email : info@glofai.com.au
Cohort Size
20–25
Investment
USD $7,000
Outcome
Senior Data Engineer
Format
Live Online