Coach – Data Engineer Level 5

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Corndel

Site WebLinkedInTous les Emplois

501 - 1000 employés

💼 Conseil

🏥 Santé

📣 Marketing

Consulting • Healthcare • Marketing

Corndel est un prestataire de formation en entreprise qui s'associe à de grandes organisations pour offrir des formations sur-mesure en IA, données et leadership, ainsi que des apprentissages diplômants et du coaching. Il combine des partenariats industriels (Imperial College London, Microsoft, CMI) avec du coaching personnalisé et des programmes accrédités pour favoriser une transformation mesurable de la main-d'œuvre, une adoption de l'IA et un développement du leadership au sein des entreprises.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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