Key skills
AirflowAWSAzureCloudGoogle Cloud PlatformPythonSparkSQLData EngineeringBIDatabricksdbtGCPGoogle CloudCI/CDMentoring
About this role
Role Overview
- Coach and mentor a caseload of learners through 1:1 sessions and workshops
- Teach practical data engineering concepts in a way that’s clear, relevant, and grounded in real‑world experience
- Help learners design and build reliable, scalable, secure data solutions
- not just working code
- Guide learners through assessments and portfolios with high standards and supportive feedback
- Model strong professional judgement around performance, cost, security, privacy, and ethics
Requirements
- Hands‑on experience as a Data Engineer or closely related role (Senior / Lead / BI / Data‑focused DevOps)
- Strong working knowledge of: SQL (including complex queries and optimisation)
- Python for data pipelines and automation
- Data modelling and normalisation
- Batch data pipeline design
- Cloud data platforms (Azure preferred; AWS/GCP welcomed)
- Understanding of data security, privacy, and ethical data use
- Experience coaching, mentoring, or supporting others
- The ability to explain complex ideas clearly and thoughtfully
- Azure data engineering certifications (or willingness to gain them)
- nice to have
- Experience with tools such as Airflow, dbt, Spark, Databricks, CI/CD
- nice to have
- Workshop facilitation or structured learning delivery experience
- nice to have
Tech Stack
- Airflow
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Python
- Spark
- SQL
Benefits
- Fully remote working with flexibility and autonomy
- A supportive, inclusive culture with high standards
- Investment in your professional development and certifications
- The chance to influence data capability across multiple organisations
- Work that’s meaningful, people‑centred, and intellectually rewarding