At a Glance
- Tasks: Build and optimise data infrastructure for insights and innovation.
- Company: Join Trinity College London, a diverse and inclusive workplace.
- Benefits: Enjoy a fair work environment with competitive rewards and benefits.
- Other info: We value diversity and encourage applications from all backgrounds.
- Why this job: Shape the future of data while making a real impact.
- Qualifications: Experience in data engineering, Python, SQL, and agile delivery.
The predicted salary is between 40000 - 50000 € per year.
Trinity College London is looking for a Data Engineer to join their Product team. You will play a crucial role in shaping and building the data infrastructure that powers our insights, analysis, and innovation. As Data Engineer you will design and deliver scalable data pipelines and solutions using expertise in data modelling.
Key Accountabilities
- Data storage management and quality assurance
- Performance optimisation
- Security and compliance
About You / Requirements
In this role you will need to be an excellent communicator with strong stakeholder management skills. The ability to communicate clearly to both technical and non-technical audiences is crucial. Alongside these skills we are also looking for:
- Demonstrable experience as a Data Engineer
- Strong understanding of data modelling, data structures and databases
- Proficient in using Python and SQL
- An understanding of data governance, security, and compliance standards
- Experience delivering in an agile environment
Benefits
Trinity provides a stimulating, inspiring and fair work environment. Our approach to reward values our employees while ensuring each person’s contribution makes us great as an organisation. As an employee, you’ll enjoy a range of benefits here at Trinity.
Equal Opportunities & Accessibility
Trinity is open to all applicants from different backgrounds and we are committed to building a more diverse and inclusive workplace. All applications are dealt with in the strictest of confidence. We actively encourage applications from candidates of all abilities. As a Disability Confident employer, we are dedicated to creating a workplace that is accessible, supportive, and welcoming for individuals with different abilities. We will make sure you can be interviewed fairly if you have a disability, long‑term health condition, or are neuro‑diverse. Trinity promotes and welcomes applications from a wide range of candidates, including those with criminal records.
In line with the requirements of the Rehabilitation of Offenders Act (1974), we select all candidates for interview based on their competencies, qualifications and knowledge.
Visa Sponsorship
Trinity College London does not hold a job visa sponsorship licence and so is not in a position to sponsor visas in the UK. All posts are subject to a safer recruitment process, including the disclosure of criminal records and vetting checks. Upon successful appointment into the role, you will be required to complete our vetting procedures as with all Trinity College London employees. This is carried out by a 3rd party supplier and our standard background checks consist of Right to Work in the UK, Identity Check, Employment History check, Financial Probity Check, Highest Academic Qualifications Check and a basic DBS check.
Data Engineer in London employer: Trinity College London
Trinity College London is an exceptional employer that fosters a stimulating and inclusive work environment, making it an ideal place for a Data Engineer to thrive. With a strong commitment to employee growth, you will have access to a range of benefits and opportunities to develop your skills while contributing to meaningful projects that drive innovation in education. Located in a vibrant community, Trinity values diversity and actively promotes a culture of accessibility and support for all employees.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Trinity College London on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects. Whether it's a cool data pipeline or a unique data model, let your work speak for itself.
✨Tip Number 3
Ace the interview! Brush up on your communication skills. Be ready to explain complex data concepts in simple terms, as you'll need to impress both technical and non-technical folks.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Trinity team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data modelling, Python, and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at Trinity. Keep it clear and engaging!
Showcase Your Communication Skills:Since you'll be working with both technical and non-technical folks, it's important to demonstrate your communication skills in your application. We love candidates who can explain complex ideas simply!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Trinity College London
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and database knowledge. Be ready to discuss specific projects where you've designed scalable data pipelines, as this will show your hands-on experience and expertise.
✨Communicate Clearly
Since the role requires excellent communication skills, practice explaining complex technical concepts in simple terms. Think about how you would describe your work to someone without a technical background, as this will be crucial during the interview.
✨Showcase Your Agile Experience
Be prepared to talk about your experience working in agile environments. Share examples of how you've adapted to changes quickly and collaborated with cross-functional teams to deliver successful data solutions.
✨Understand Compliance and Security
Familiarise yourself with data governance, security, and compliance standards relevant to the role. Be ready to discuss how you've ensured data quality and security in your previous roles, as this is a key accountability for the position.
