FDM Group·3 months ago
3 months ago
Data Engineering Technical Coach
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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
- Work with other FDM Coaches to strengthen our Data & Analytics Practice
What they're looking for
- 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
Nice to have
- 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
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
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
- Work with other FDM Coaches to strengthen our Data & Analytics Practice
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.
Company
FDM Group
Sydney, Australia
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