Coach – Data Engineer Level 5

🕒 May 21

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Corndel

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📚 Education

🤝 B2B

Education • B2B

Corndel is an enterprise learning provider that partners with large organisations to deliver tailored AI, data and leadership training, degree apprenticeships and coaching. It combines industry partnerships (Imperial College London, Microsoft, CMI) with personalized coaching and accredited programmes to drive measurable workforce transformation, AI adoption and leadership development across businesses.

📋 Description

• 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

🏖️ 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