What is the Certified Data Engineering Expert?

The Certified Data Engineering Expert is a globally recognised professional certification by the Global Leadership Institute (GLI), designed to equip professionals with advanced competencies in Information Technology.

How long does this certification take?

The programme takes 12 Weeks and can be completed self-paced or with live virtual sessions.

Is this certification globally recognised?

Yes. GLI certifications carry CPD credits and are internationally recognised.

What level is this certification?

This is a Expert / Executive Level certification.

Email info@certifications.ac, WhatsApp +254 722 223 084, or fill in the enrolment form on this page.

What is included in the fee?

All study materials, study guide, examination, digital certificate and badge. Live option adds tutor sessions and priority support.

Certified Data Engineering Expert (CDEX)

Executive Summary

Certified Data Engineering Expert

Designed for today’s high-impact professionals, the Certified Data Engineering Expert (CDEX) delivers a rigorous Executive-level curriculum that equips participants with the knowledge, tools and frameworks needed to excel in information technology, software, data and digital systems.

This 12 Weeks programme is structured around ITIL, ISO/IEC and recognised technology and cybersecurity standards, ensuring every graduate applies internationally validated methods to real-world challenges.

GLI’s CDEX holders are recognised by leading organisations across Africa, the Gulf, Europe and the Americas as qualified, results-driven professionals. Whether you are advancing your current career or transitioning into new responsibilities, this certification provides the competitive edge you need in 2026 and beyond.

Programme Overview

Certification at a Glance

Certification

Certified Data Engineering Expert

Acronym

CDEX

Who Should Enrol?

IT and Systems Professionals
Software Developers and Engineers
Data and Analytics Specialists
IT Managers and Solution Architects

Programme Inclusions

Everything Included in Your Enrolment

All study materials and study guide
Access to GLI online learning portal
Online examination and assessment
Digital certificate and digital badge
Physical certificate (shipped to you)
CPD credits for professional bodies
GLI alumni network membership
Facilitator and tutor support
Resource downloads and reference library
Automatic enrolment confirmation

Certification Benefits

Why This Certification Matters for Your Career

Career Advancement

Accelerate your career towards senior engineering, architecture and IT leadership roles

Professional Recognition

Credential aligned with ITIL, ISO/IEC and recognised technology and cybersecurity standards

Operational Excellence

Apply world-class frameworks to improve performance and outcomes

Strategic Thinking

Develop the analytical and strategic skills demanded at the executive level

Compliance Readiness

Master the standards, compliance and ethical governance central to information technology

Global Employability

Qualify for information technology roles across technology firms, corporates, startups and public institutions worldwide

Competency Framework

Core Competencies You Will Develop

✦Enterprise Data Engineering Architecture

✦Data Ingestion Engineering

✦Data Warehouse Engineering

✦Streaming Data Engineering

✦Data Quality Engineering

✦Cloud Data Engineering

Course Curriculum

Programme Modules

The full programme, module by module.

Core CurriculumModules 1–20 · specific to Certified Data Engineering Expert · module 20 is the capstone

1

Enterprise Data Engineering Architecture

Data governance in enterprise systems · Data warehousing and data lakes · ETL, data pipelines and engineering · Value engineering and optimisation

2

Data Infrastructure Strategy

Cloud, infrastructure and the operating decisions behind them · Data, analytics and AI strategy · Project data, reporting and analytics · Data analytics and visualisation

3

Data Pipeline Architecture

Pipeline coverage, velocity and the health checks that matter · Ethical use of AI and analytics in HR · Requirements engineering and systems analysis · Expert reporting and courts

4

Data Ingestion Engineering

Customer data platforms and segmentation · Data privacy, consent and compliance · Qualitative and quantitative research · Predictive analytics and forecasting

5

ETL and ELT Engineering

Statistics and exploratory data analysis · Dashboards and data storytelling · Self-service analytics · Predictive and prescriptive analytics

6

Data Transformation Pipelines

Data engineering: models, pipelines and the quality problem · Data-driven and platform business models · Data ethics, privacy and protection · Data and information requirements

7

Data Warehouse Engineering

Warehouse layout, handling and safety · Feedback and learner analytics · Data-driven learning design · Learning data privacy and ethics

8

Data Lake Engineering

Data breach and incident governance · Building trust through data governance · Research methods for policy · Data protection and privacy

9

Data Lakehouse Architecture

Confidentiality and health data · IT governance, compliance and data protection obligations · Data quality, verification and use · Data and interoperability

10

Streaming Data Engineering

Protecting data and information assets · Insider threat and data loss prevention · Data protection in surveillance · Research design: matching the question to the study

11

Distributed Data Processing

Inclusive, remote and distributed leadership · Decision support and insight · Predictive, agile and hybrid approaches · Earned value and forecasting

12

Data Pipeline Orchestration

Variable-rate application and yield mapping · Climate risk, forecasting and resilient practices · Visualisation tools and design · Turning insight into decisions

13

Data Quality Engineering

Field data collection: tools, enumerators and data quality at source · Forecast accuracy: commit, upside and being right about the number · Spend analysis and segmentation · Pipeline management, forecasting and CRM discipline

14

Metadata and Lineage Engineering

Financial analysis, modelling and valuation · Financial modelling and forecasting discipline · Commissioning and reliability · Fraud defined: scope, classification and the investigator’s role

15

Data Security Architecture

Supplier segmentation and relationship strategy · Demand planning and forecasting · Maintenance, testing and reliability · Sampling: who is in the study and who the results describe

16

Cloud Data Engineering

Utility maintenance, outages and service reliability · Analytical techniques and bias · Data literacy: reading, questioning and using data · Descriptive statistics for everyday professional decisions

17

Data Pipeline Monitoring

Farm data collection and management · Data-driven agronomy and decision support · Data quality, privacy and ethics · AI and analytics for agriculture

18

Data Engineering Performance Optimisation

Digital credit and alternative data · Security in the pipeline (DevSecOps) · Data analytics in audit · Credit bureaus and data

19

Data Platform Reliability

Maintenance and asset reliability management · Probability and inference: what a sample can and cannot tell you · Learning analytics: what platform data can and cannot tell you · Working with data: quality, interpretation and honest presentation

20

Data Engineering Capstone

Cybersecurity and data protection in HR · Data quality, integration and master data · Data ethics, privacy and responsible analytics · HR data, metrics and people analytics

Professional ElectivesModules 21–30 · common to all GLI certifications · broaden your professional range

21

Strategic Communication and Executive Presentation

Vision, purpose and translating direction into work · Audience-centred communication and message structure · Executive leadership: the board interface and enterprise stewardship · Persuasive structure: framing, evidence and the ask

22

Leadership and Team Effectiveness

Leadership identity, style and the limits of style · Leadership assessment, feedback and continuous self-review · Leadership versus management and when each is needed · Situational and adaptive leadership

23

Analytical Thinking and Evidence-Based Reasoning

Creativity and critical-thinking development · Analytical techniques and bias · Evidence-based improvement · Problem framing: symptoms, definition and scope

24

Professional Decision-Making

Managerial decision-making, bias and decision rights · Escalation and decision-making · Decision support: briefs, options and judgement under pressure · Decision frameworks: criteria, weighting and trade-offs

25

Negotiation, Influence and Stakeholder Management

Negotiation preparation: interests, options and the walk-away · Power, followership and organisational politics · Negotiation: preparation, interests and value creation · Concessions, anchoring and the shape of a bargain

26

Project and Execution Management

Proposals, bids and the business case · Project roles and the project manager · Developing the project business case · Planning, scheduling and personal workflow systems

27

Financial Literacy for Professionals

Financial reporting standards and their application · Financial management for the operating manager · Liquidity, funding and balance sheet management · Management accounting: costing, budgeting and decision support

28

Digital Skills, AI and Technology for Professionals

Digital workplace, collaboration and user support · Productivity, collaboration and workflow tools · Tools for interaction and collaboration · Working with data: quality, interpretation and honest presentation

29

Ethics, Governance and Professional Accountability

Ethical leadership: integrity, tolerated behaviour and moral courage · Ethics, conduct and speaking up · Business development risk, ethics and integrity · AI for managers: adoption, oversight and governance

30

Personal Effectiveness, Productivity and Career Growth

Emotional competence: awareness, regulation and expression · Self-awareness, strengths and the accuracy of self-image · Emotional intelligence and self-regulation · Priority: outcomes, importance and the urgency trap

Every module opens in the learning portal with its full lesson set, worked examples, further reading and video masterclasses. 30 modules · 150 lessons.

Learning Outcomes

What You Will Achieve

Data Infrastructure Strategy — applied to your own work
Data Pipeline Architecture — applied to your own work
Data Ingestion Engineering — applied to your own work
ETL and ELT Engineering — applied to your own work
Data Transformation Pipelines — applied to your own work
Data Warehouse Engineering — applied to your own work

Enrolment Process

How to Get Certified

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Step 1: Choose Your Certification

You are viewing Certified Data Engineering Expert — one of GLI's 1,990+ globally recognised professional certifications.

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Step 2: Enrol & Pay Online — Instantly

Click Enrol & Study Online to register and pay securely via Paystack, Visa, Mastercard, M-Pesa or bank transfer. Access is granted the moment payment is confirmed.

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Step 3: Study in the GLI Learning Portal

Work through 30 structured modules and 150 lessons at your own pace, with downloadable resources and expert-designed content — all inside the LMS.

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Step 4: Pass, Get Certified & Verified

Sit your final examination online, earn your certificate instantly, and receive a globally verifiable Certificate ID — plus GLI Alumni Network access.

🎓 Enrol & Study Online — Instant Access

Secure checkout · Instant LMS access · Globally verifiable certificate

Frequently Asked Questions

Common Questions

What is the CDEX certification?

The Certified Data Engineering Expert (CDEX) is a Executive-level professional certification awarded by the Global Leadership Institute (GLI). It is designed to equip professionals in information technology, software, data and digital systems with practical skills, internationally recognised frameworks, and the credentials needed to advance their careers.

Who should enrol in the CDEX?

This certification is ideal for IT and Systems Professionals, Software Developers and Engineers, Data and Analytics Specialists and IT Managers and Solution Architects, and other professionals seeking to formalise their expertise in information technology, software, data and digital systems with a globally recognised credential.

How long does the CDEX certification take to complete?

The programme is structured over 12 Weeks and offers flexible learning modes. Self-paced learners can progress at their own schedule, while live virtual participants follow a structured cohort schedule with facilitator-led sessions.

Is the CDEX internationally recognised?

Yes. GLI certifications are recognised across 100+ countries and are aligned with ITIL, ISO/IEC and recognised technology and cybersecurity standards. Graduates receive a digital certificate, a physical certificate and CPD credits recognised by employers worldwide.

What is the cost of the CDEX certification?

The Certified Data Engineering Expert is offered in two formats: Self-Paced at USD 399 and Live Virtual at USD 599. Corporate group rates are available for organisations enrolling 5 or more participants. Contact GLI for a bespoke corporate training quotation.

What does the CDEX certification include?

Enrolment includes all study materials and study guides, access to GLI's online learning portal, online examination, digital certificate and badge, physical certificate (posted), CPD credits, GLI alumni network membership, and ongoing facilitator support.

What is the assessment format for the CDEX?

The Certified Data Engineering Expert is assessed through an online examination consisting of multiple-choice questions, case study analysis, and practical application assignments. The assessment is designed to evaluate real-world competency, not just theoretical recall.

What CPD credits do I earn from the CDEX?

The Certified Data Engineering Expert carries Continuing Professional Development (CPD) credits, which can be applied towards professional body requirements including recognised international professional associations.

Can I study the CDEX while working full-time?

Absolutely. The self-paced option is designed for busy working professionals and allows you to study when and where it suits you. Live virtual sessions are typically scheduled in the evenings or on weekends to accommodate professional commitments.

What career outcomes can I expect from the CDEX?

Graduates progress towards senior engineering, architecture and IT leadership roles. The CDEX strengthens your expertise in information technology, software, data and digital systems and positions you for advancement across technology firms, corporates, startups and public institutions.

Graduate Voices

What Our Alumni Say

“

The curriculum was directly applicable to my daily work. I immediately applied what I learned and saw results within weeks of completing the programme.

IT Director

Private Sector

“

GLI's certification is the most practical professional programme I have attended. The international frameworks gave me credibility with my employer and clients.

Solutions Architect

NGO Sector

“

I earned my CDEX while working full-time. The self-paced format made it possible, and the quality of the content is genuinely world-class.

Data Lead

Government

Certified Data Engineering Expert

Certified Data Engineering Expert

Certification at a Glance

Who Should Enrol?

Everything Included in Your Enrolment

Why This Certification Matters for Your Career

Core Competencies You Will Develop

Programme Modules

What You Will Achieve

How to Get Certified

Common Questions

What Our Alumni Say

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