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All career pathsDATA ENGINEER CAREER PATH

From programming and SQL fundamentals to production data pipelines, big data and data platform engineering.

A structured path from SQL and Python fundamentals to production data pipelines, big data systems and database platform engineering.

Explore the roadmap
🚀DATA
YOUR DESTINATIONData EngineerLearn · Build · Grow
High industry demandCompanies of all sizes need Data Engineers to build and maintain reliable data pipelines.
Strong salary potentialData engineering roles are consistently among the highest-paid positions in tech.
Clear career progressionGrow from foundational SQL and Python skills to advanced pipeline architecture and platform specialisation.
Hands-on production skillsWork with real open-source tools used in production data engineering environments.
YOUR ROADMAP

One career. 4 levels.
A clear next step at every stage.

Each level groups the core skills you need — and the Ingress training mapped to them.

01
Foundation
Next: Junior Data Engineer

Build programming, SQL and data fundamentals

  • Understand relational databases and data models
  • Write advanced SQL queries
  • Work with joins, subqueries and aggregations
  • Understand indexes and query performance
  • Build a strong foundation in structured data
  • Prepare for production data engineering work
Recommended trainings
Oracle SQL
02
Data Engineer
Next: Data Engineer

Build production-grade data pipelines and platforms

  • Build end-to-end data pipelines
  • Work with production-grade open-source data tools
  • Ingest and transform data
  • Work with batch and streaming data
  • Implement Change Data Capture (CDC) patterns
  • Work with big data systems
  • Build reliable and scalable data workflows
  • Develop data engineering projects in an on-premises environment
  • Complete a comprehensive data engineering capstone
Recommended trainings
Data Engineering Bootcamp
03
Advanced Data Engineer
Next: Senior Data Engineer

Build reliable and scalable data platforms

  • Design scalable data architectures
  • Build production-grade ETL and ELT pipelines
  • Implement advanced batch and streaming architectures
  • Optimize data processing workloads
  • Design reliable data storage and processing layers
  • Implement data quality and validation
  • Monitor and troubleshoot production pipelines
  • Apply data security and access controls
Recommended trainings
Explore all courses
04
Data Platform Specialisation
Next: Senior Data Engineer / Data Platfo

Deepen database platform and reliability expertise

  • Administer production PostgreSQL environments
  • Optimize database performance
  • Implement backup and recovery
  • Manage database security
  • Understand database replication and availability
  • Support data platforms used by engineering teams
Recommended trainings
PostgreSQL Database Administration
GRADUATE RESULTS

See where Data Engineer skills can take you.

Nasimi Aghayev — Data Analytics at Golden Time MMC ►
Data Engineer

Nasimi Aghayev

Data Analytics · Golden Time MMC

Even if your degree is in a different field, it’s possible to start from scratch and find the right path.
Watch story
View all graduate stories
INSTRUCTOR TEAM

Learn from engineers who build and operate production systems.

This path brings together specialists who work in the field every day — across development, architecture, operations and engineering leadership.

Meet the full instructor team
UPCOMING COHORT

Join the next Data Engineer cohort.

Small groups, mentor-led sessions and a fixed schedule so you actually finish.

Start dateAnnounced soon
ScheduleEvenings · 2×/week
SeatsLimited
Register your interest
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