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- Tasks: Join a dynamic team to develop data pipelines and enhance data engineering capabilities.
- Company: Be part of a leading UK university focused on technology-driven transformation.
- Benefits: Enjoy hybrid working, 38 days annual leave, and a generous pension scheme.
- Why this job: Transform data for impactful projects in a supportive, collaborative environment.
- Qualifications: Level 3 qualification or equivalent experience; hands-on SQL skills required.
- Other info: Comprehensive training provided; flexible working options available.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer (Leading UK University)
People are key to our technology-driven transformation. Through our people, services and projects, we deliver the digital experience to empower work, study, learning and research. We\’re customer centric, employing co-design principles, and use customer friendly language. We aim to build services that are intuitive, reliable and stress-free (IT that \”just works\”) and are committed to accessibility.
The Opportunity
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.
You\’ll join a dynamic team to transform data for system integration and analysis, developing robust data pipelines with modern practices like version control and automation. You\’ll contribute to data governance and collaborate with various data professionals. Beyond technical skills, a positive, adaptable, and eager-to-learn mindset is highly valued, with comprehensive training provided to support your growth.
Key Requirements
- Level 3 qualification (see full list) or equivalent professional experience.
- 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).
Excellent Benefits
The University of York offers a compelling benefits package, including:
- Hybrid working, allowing up to 4 days of remote work per week.
- 38 days of annual leave (inclusive of bank holidays).
- Flexible working options and up to 12 days of additional flexible leave per year.
- A generous pension scheme with 14.5% employer contributions.
- Access to onsite gym and nursery facilities.
- A Cycle2Work scheme and access to healthcare benefits through Rewards Extra.
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. We promote a supportive atmosphere and encourage shared learning. (https://features.york.ac.uk/university-of-york-it-services-jobs/)
Get in Touch
For an informal discussion about this position, please contact Thomas Wright, Lead Software Engineer, at thomas.wright2@york.ac.uk.
Interview date: To be confirmed #J-18808-Ljbffr
Data Engineer employer: University of York
Contact Detail:
University of York Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the latest cloud technologies and data engineering practices. Since this role focuses on cloud-based data pipelines, showcasing your knowledge in this area during discussions can set you apart.
✨Tip Number 2
Network with current employees or professionals in similar roles. Engaging with them can provide insights into the team culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Demonstrate your adaptability and eagerness to learn. The job description highlights a positive mindset as a key requirement, so be prepared to share examples of how you've embraced new challenges in the past.
✨Tip Number 4
Prepare to discuss data governance and legal issues related to data management. Understanding these concepts will show that you are not only technically skilled but also aware of the broader implications of data handling.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the key responsibilities and requirements for the Data Engineer position. Tailor your application to highlight how your skills and experiences align with these aspects.
Highlight Relevant Experience: Emphasise your hands-on experience with SQL and any familiarity with data modelling concepts. If you have worked with data warehouse systems or have knowledge of Python, make sure to include these details in your CV and cover letter.
Showcase Your Mindset: The university values a positive and adaptable mindset. In your application, mention instances where you've demonstrated eagerness to learn and adapt to new challenges, especially in a collaborative environment.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also reflects your understanding of the university's commitment to accessibility and customer-centric services. Make it personal and engaging to stand out.
How to prepare for a job interview at University of York
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with SQL and any familiarity you have with data modelling concepts. You might be asked to solve a problem or explain how you've used these skills in past projects.
✨Demonstrate Your Adaptability
The role values a positive and adaptable mindset. Be ready to share examples of how you've learned new technologies or adapted to changes in previous roles, especially in a collaborative environment.
✨Understand Data Governance
Familiarise yourself with legal issues related to data, such as the Data Protection Act. Being able to discuss these topics will show that you understand the importance of compliance in data engineering.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their approach to data governance. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
