The IT Services team at York have developed a strong DevOps and modern Software Engineering practice working on cloud based projects, as well as those hosted on our own data centres. This Data Engineer role will play a key part in further developing our data engineering and DataOps capability, by making full use of the latest cloud based data pipelines.
Requirements
- Hands-on experience with SQL.
- Familiarity with data modelling concepts and techniques, such as data entity diagrams.
- Ability to gather, analyse, interpret, and report complex data/information.
- Experience with data warehouse systems (desirable).
- Knowledge of Python or other modern programming languages. (desirable).
- Awareness of legal issues related to data, such as the Data Protection, Freedom of Information, and Computer Misuse Acts. (desirable).
Responsibilities
- play a key part in further developing our data engineering and DataOps capability, by making full use of the latest cloud based data pipelines.
- transform data for system integration and analysis
- developing robust data pipelines with modern practices like version control and automation.
- contribute to data governance
- collaborate with various data professionals.
Other
- Level 3 qualification (see full list) or equivalent professional experience.
- People are key to our technology-driven transformation.
- We’re customer centric, employing co-design principles, and use customer friendly language.
- Beyond technical skills, a positive, adaptable, and eager-to-learn mindset is highly valued, with comprehensive training provided to support your growth.
- You will work within collaborative, multi-disciplinary teams, partnering with data architects , analysts, and other IT professionals to ensure robust data management across the institution.
