Analysts and data scientists can only work as fast as the pipelines feeding them. This ten-day course builds core data engineering skills, from pipeline design and ETL/ELT development to orchestration and data modelling, for professionals who build and maintain the systems behind analytics.
Data engineering sits behind every dashboard and model, yet is often learned informally on the job. This course teaches it as a discipline: designing pipelines that move data reliably from source systems to analytics-ready tables, choosing between ETL and ELT patterns, and structuring data models that support both performance and business understanding.
Participants also build orchestration workflows, handle pipeline failures and monitoring, and address data quality at the engineering layer, so downstream analysts inherit trustworthy data rather than problems to debug.
By the end of this course, participants will be able to:
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This course is designed for professionals building or maintaining data infrastructure, including:
Participants who complete the course receive a Certificate of Completion from Vision Reach Global Consultancy. The fee covers hands-on cloud lab access for pipeline exercises, course materials, refreshments and certificate processing. Facilitators bring practical experience building production data engineering systems.
Everything you need to know about this course before you register.
By the end of the Data Engineering Training programme, you'll be able to design data pipelines for batch and streaming ingestion, build etl and elt processes using appropriate tools and patterns, model data for analytics using dimensional modelling principles, and orchestrate multi-step pipelines with dependency management. The full breakdown of topics is covered session by session in the Course Outline tab above.
This course is designed for professionals building or maintaining data infrastructure, including: Aspiring and junior data engineers, Database developers and administrators, Business intelligence developers moving into engineering, Software engineers building data-intensive applications, and Data analysts who want to understand pipeline mechanics.
Data Engineering Training typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Data Engineering Training is scheduled in-classroom in Mombasa, Kenya, Naivasha, Kenya, Nairobi, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
Data Engineering Training runs on a rolling cohort basis, so a new intake is always coming up. Pick your preferred format and location in the schedule panel above, then click "Register for the Course" to reserve your seat — confirmation follows once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a CPD-accredited Certificate of Completion for Data Engineering Training from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data Engineering Training is pitched at intermediate to advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data Engineering Training vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data Engineering Training can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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