Stratpoint Engineering

Data Engineering Internship 2026

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Data Engineering
Data Engineering Internship 2026
Chapter 1

Welcome to the Bootcamp

Congratulations — you made it into the Data Engineering Internship. Over the next 12 weeks you will go from SQL queries to full end-to-end data pipelines. This handbook is your day-to-day reference. Read it once now, then keep it open.

A Note on How This Program is Structured

This internship is self-paced, and that is intentional.

Stratpoint's active projects are enterprise and high-profile in nature. The confidentiality requirements, client expectations, and production stakes involved mean that placing interns directly on live client work would not be fair to you, your team, or the client. This is not a reflection of your capability — it is simply the reality of how professional-grade projects operate.

What we have built instead is a program that prepares you for exactly that environment. You will work with the same tools, the same standards, and the same workflows used on real projects. More importantly, you will develop the habits that make someone genuinely ready for one.

Beyond the technical skills, this program is designed to build:

  • Self-discipline — no one will chase you for your output. You manage your own time and your own progress.
  • Independence — you will get stuck. The expectation is that you try first, try hard, and ask for help at the right moment — not immediately, and not never.
  • Resourcefulness — the answer is almost always in the documentation, the error message, or a well-formed search. Learning to find it yourself is part of the training.
  • Communication and professional conduct — through daily standups, activity presentations, and working alongside co-interns, mentors, and managers, you will practise how professionals collaborate, give feedback, and carry themselves at work.

We want you to leave this program not just with technical skills, but with the working habits and professional confidence to thrive on a real team.

Welcome aboard.

Your Instructors

NameRole
Jemima VillanuevaLead Instructor
Raymond LaguertaInstructor
Jesse Louise CalasinInstructor

What the 12 Weeks Look Like

WeekPhasePrimary FocusYou Deliver
Day 0SetupEnvironment configurationWorking local stack
1FoundationsDatabase design, data warehousing, ERD, star schemaERD + star schema design + presentation
2FoundationsCore tools — Python, PySpark, Pandas, PostgreSQL, SQLEnd-to-end pipeline: download → load → clean → query
3–5PipelinesETL vs ELT, dbt transformations, Airflow orchestrationdbt + Airflow ETL pipeline
6–7VisualisationPower BI, DAX, data storytelling, dashboardsInteractive Power BI dashboard
8–12CapstoneIntegrate all skills on a real analytics problemMovie analytics system

What This Bootcamp Will and Will Not Cover

CoveredNot Covered
Relational and non-relational databasesCloud services (AWS, GCP, Azure)
Python, Pandas, PySpark data processingProduction client projects with live business users
dbt transformations and data modellingReal-time streaming infrastructure
Airflow orchestration and schedulingEnterprise-scale deployment
Power BI dashboards and DAXML model training and deployment
Git and GitHub for version control

Pro Tip

The first week feels like drinking from a firehose. That is normal.

You will not understand everything immediately. Focus on running the commands, then understanding why.

Stuck for more than 30 minutes? Post in the help channel immediately. Do not sit on blockers.