CareerForge track
Data Engineering
Build the pipelines that power AI
Data pipelines, Spark, Kafka, data warehousing, and real-time streaming at scale.
Who this is for
Candidates moving toward pipelines, warehousing, orchestration, and production-grade data systems.
Why this track exists
This track is about building trustworthy data movement, modelling, and platform reliability at scale.
What candidates need to become credible here
- Apache Spark
- Kafka
- Airflow
- dbt
- Snowflake
- Databricks
What the mock interview should sound like
Interview prep should sound like system design, reliability, orchestration choices, and data quality trade-offs.
The point is not generic confidence practice. It is sounding credible for this exact role lane.
Your trainer
Kai
Data engineer specialising in real-time pipelines and modern data stacks.
The trainer context is there to keep lessons, applications, and interview prep attached to the same role journey.
Career outcomes
Data Engineer, Analytics Engineer, MLOps Engineer
Typical UK salary range
£50,000 – £90,000
Programme structure
- 3-month minimum commitment
- Structured track modules and lesson packs
- CV updates and application support inside the same workflow
- Live mock interviews tied to package entitlement
- Review history and post-session notes
What hiring signal matters here
Candidates need stronger evidence around pipelines, models, warehousing, and real-world operational constraints.
Ready to move into the data engineering lane?
Apply once and let the track, trainer context, applications, and interview prep stay connected.