7 months ago
Remote, United KingdomStaff+
Responsibilities
- Coach and mentor a caseload of learners through one-to-one sessions and workshops.
- Teach practical data engineering concepts using clear, relevant, real-world explanations.
- Guide learners in designing and building reliable, scalable, secure data solutions.
- Support learners through assessments and portfolios with high standards and constructive feedback.
- Model professional judgement concerning performance, cost, security, privacy, and ethics.
- Contribute to a collaborative delivery team and help learners apply their learning confidently in workplace roles.
Requirements
- Hands-on experience as a Data Engineer or closely related Senior, Lead, BI, or data-focused DevOps professional.
- Strong working knowledge of SQL, including complex queries and optimisation.
- Strong working knowledge of Python for data pipelines and automation.
- Knowledge of data modelling, normalisation, and batch data pipeline design.
- Experience with cloud data platforms, preferably Azure; AWS or GCP experience is also welcomed.
- Understanding of data security, privacy, and ethical data use.
- Experience coaching, mentoring, or supporting others.
- Ability to explain complex ideas clearly and thoughtfully.
- Azure data engineering certification or willingness to gain it is preferred.
- Experience with Airflow, dbt, Spark, Databricks, or workshop facilitation and structured learning delivery is preferred.
Benefits
- Fully remote working with flexibility and autonomy; national travel is required as needed.
- Supportive and inclusive culture with high standards.
- Investment in professional development and certifications.
- Opportunity to influence data capability across multiple organisations.
- Meaningful, people-centred, intellectually rewarding work.
- The role is a future-opportunity talent pool position rather than an immediate vacancy.
- Applicants must have existing right to work in the UK because visa sponsorship is unavailable.
Tech Stack
Categories
Data Engineering
