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The Data Engineer Coach is responsible for delivering high‑quality technical training and mentoring to consultants within FDM’s Data and Analytics practice. This includes equipping trainees with both foundational and industry-relevant skills required to succeed in client environments.

The role covers the current big data ecosystem and continues to evolve to incorporate modern data engineering practices, including cloud platforms, real-time data processing, and AI-enabled data architectures.

Key Responsibilities

Deliver structured training in data engineering concepts, tools, and best practices
Coach and mentor consultants to develop production-ready technical and professional skills
Design and update training materials in line with industry trends and client demand
Support hands-on learning through labs, projects, and scenario-based exercises
Stay current with emerging technologies, particularly in cloud and AI-driven data solutions
Assess trainee performance and provide actionable feedback

About You

About The Candidate

Essential Skills

Candidates should possess experience and/or knowledge of the following:

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

Desirable Skills

Core Technologies

MS Excel
ETL / Data Warehousing
Linux / Linux Administration
Basic Networking and IT Security
Experience with ServiceNow, JIRA, Confluence

Cloud & Platforms

Experience with:
- Snowflake, AWS, Microsoft Azure, or Google Cloud Platform
Familiarity with cloud-native data services

AI & Emerging Capabilities (Highly Desirable)

Modern & Emerging Architectures

Streaming and event-driven architectures
Feature engineering and feature store concepts

Generative AI & Advanced Data Use Cases

Awareness of:
- The data lifecycles in AI applications
- Vector databases and embeddings
- Retrieval-Augmented Generation (RAG)
- Working with unstructured data

Governance & Responsible AI

Understanding of data privacy, security, and ethical considerations

Coaching & Training Capability (Critical)

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

Additional Information

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

About FDM

FDM powers the people behind tech and innovation. We spot trends, find top talent, and help businesses stay ahead.

With 35+ years of experience, we coach, mentor, and launch fresh thinkers from diverse backgrounds into world-class careers. Partnering with top global companies, we deliver the right talent at the right time—while guiding our people toward exponential growth.

Global impact – 18 centers across North America, APAC, the UK, and Europe
25,000+ careers launched – and counting
300+ trusted client partners

Committed to Diversity, Equity and Inclusion

Tech careers should be for everyone. With 75+ nationalities represented, FDM thrives on diversity, fuels innovation through unique perspectives, and celebrates success together. As an Equal Opportunity Employer and FTSE4Good-listed company, we ensure every qualified applicant gets a fair shot—no barriers, just opportunities.

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