In-Demand Snowflake data engineer Jobs

Data Engineering Technical Coach
FDM Group —Sydney NSW
- Microsoft Excel
- Azure
- SQL
Senior DevOps AI Engineer
Obsidian Security —Remote
- On call
- Remote
- Computer Science
- Salesforce
- DevOps
Quick Apply
Platform Manager (ML)
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Free parking
- Employee stock purchase plan
Senior Snowflake Data Architect
Telstra Health —Australia
- Full-time
- Salesforce
- Databases
- AWS
- Health insurance
- Parental leave
Senior Data Delivery Engineer
BTI Executive Search —Australia
- Full-time
- Remote
- Azure
- SQL
- AWS
Test Lead - Data
Hexaware Technologies —Australia
- Computer Science
- Master's degree
- SQL
7d
Principal Security Engineer
splose —Australia
- Full-time
- Remote
- AWS
- AI
Quick Apply
1d
Solution Engineer
Snowflake —Melbourne VIC
- SQL
- AI
- Communication skills
3h

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Data Engineering Technical Coach

FDM Group -
Sydney NSW

Apply Now

Job Details

Qualifications

Jira
Data modelling
Microsoft Excel
Azure
Big data
NumPy
Google Cloud Platform
Apache Hive
SQL
AWS
Machine learning
Confluence
Data pipeline
Security
ServiceNow
Scalability
AI
Communication skills
Analytics

Full Job Description

About The Role

Shape the data talent behind tomorrow’s technology

FDM is looking for a Data Engineering Coach to help consultants build the practical skills they need for real client assignments.
This is a role for an experienced data professional who wants to stay close to technology while making a bigger impact through people. You’ll bring industry knowledge into FDM’s Skills Lab, create hands-on learning, and help consultants grow into confident, capable data engineers.

You’ll work across Python, SQL, data pipelines, cloud platforms, streaming data, and AI-ready data foundations. You do not need to know every tool. We’re looking for someone with strong technical judgement, clear communication, and the ability to turn complex ideas into practical learning.

At FDM, we power the people behind tech and innovation. In this role, you’ll help shape the next generation of data consultants.

What you’ll do

Train consultants in modern data engineering tools, concepts, and best practice
Build practical labs, projects, and technical exercises
Help consultants develop strong Python, SQL, and data pipeline skills
Bring real industry context into the Skills Lab
Support learning across batch processing, streaming data, cloud platforms, and scalable data systems
Keep training content aligned to client demand and emerging technology
Give clear feedback that helps consultants improve

About You

Essential skills

Data engineering fundamentals: Advanced Python; Python libraries (Pandas, NumPy); Strong SQL, Bash / Shell scripting
Current data ecosystem: Experience with big data and distributed processing technologies: Apache Hadoop, Apache Hive, Apache Kafka, Apache Spark; Understanding of batch and streaming data processing; Exposure to data pipeline design and data workflows
Modern data engineering practices: Building and maintaining data pipelines; Understanding of data modelling and scalable data systems; Awareness of data quality, validation, and governance
AI-ready data foundations: Understanding of how data platforms support analytics and machine learning workloads; Experience preparing datasets for ML/AI use cases; Awareness of how data quality impacts model performance
Coaching and training capability: Ability to clearly explain complex technical concepts; Strong passion for teaching and mentoring; Ability to translate industry trends into practical training content; Strong communication and stakeholder management skills

Desirable skills

Core technologies: MS Excel; ETL / Data Warehousing; Linux / Linux Administration; Basic Networking and IT Security; Experience with ServiceNow, JIRA, Confluence
Cloud and platforms: Snowflake, AWS, Microsoft Azure, or Google Cloud Platform; Familiarity with cloud-native data services

Highly desirable skills

AI and emerging capabilities
Modern and emerging architectures: Streaming and event-driven architectures; Feature engineering and feature store concepts
Generative AI and advanced data use cases: The data lifecycles in AI applications; Vector databases and embeddings; Retrieval-Augmented Generation (RAG); Working with unstructured data
Governance and responsible AI: Understanding of data privacy, security, and ethical consideration

The role currently includes training across the Hadoop ecosystem (Hadoop, Hive, Kafka, Spark), with a growing emphasis on cloud-native platforms, real-time processing, and AI-enabled data engineering as industry demand evolves.

About Us

FDM powers the people behind tech and innovation.

For more than 35 years, we've helped launch careers by training, coaching, and connecting people with leading organisations around the world. We work across APAC, North America, EMEA, and the UK, helping businesses find the talent they need and helping people build careers with real momentum.

35+ years of experience
18 centres globally
300+ client partners
20,000+ careers launched

Diversity, equity, and inclusion

Tech careers should be open to everyone. With 75+ nationalities across the business, FDM welcomes people from all backgrounds, identities, and experiences, because better ideas come from teams that don't all think the same way. We're committed to making FDM a place where everyone gets a fair chance at building a successful career.

Apply Now

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snowflake data engineer jobs

Data Engineering Technical Coach

Senior DevOps AI Engineer

Platform Manager (ML)

Senior Snowflake Data Architect

Senior Data Delivery Engineer

Test Lead - Data

Principal Security Engineer

Solution Engineer

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