At a Glance
- Tasks: Design and maintain scalable data solutions to support decision-making at Sheffield Hallam University.
- Company: Join a values-driven university focused on student success and organisational improvement.
- Benefits: Competitive salary, generous pension scheme, strong work-life balance, and continuous professional development.
- Other info: Flexible working arrangements and a collaborative culture await you!
- Why this job: Make a real impact by shaping the university's data landscape and driving innovation.
- Qualifications: Experience in ETL/ELT data pipelines and a good understanding of data modelling principles.
The predicted salary is between 58225 - 58225 £ per year.
Grade 8 - £46,049 - £58,225 per annum, depending on experience
Join Sheffield Hallam University as a Data Engineer and play a key role in shaping the University’s data landscape.
You will design, build and maintain scalable data solutions that deliver valuable insights and support informed decision-making across the organisation.
We are looking for experienced data professionals who enjoy solving complex technical challenges and collaborating with a wide range of stakeholders.
This is an opportunity to apply your knowledge in a values driven organisation where your work supports student success and organisational improvement, while offering a collaborative culture, strong work-life balance and opportunities for continuous professional development.
The role involves
- Designing, developing, and maintaining scalable ETL/ELT data pipelines to support reporting and analytics
- Developing, optimising and maintaining data models that enable effective reporting, business intelligence and data-driven decision making.
- Monitoring, troubleshooting and optimising data solutions to ensure performance and reliability.
- Promoting innovation, security and continuous improvement by contributing to data engineering best practices, standards and governance across the organisation.
- Supportingcorporate change initiatives, ensuring successful technical delivery of transformation programmes, including the implementation of the University’s Data Strategy.
- Designing and developing integrations, workflows and automations using low-code platforms, APIs, and modern integration technologies.
- Collaborating closely with internal and external stakeholders, analysts, and technical teams to translate requirements into scalable and sustainable technical solutions.
- Creating, maintaining and enhancing technical documentations, data standards and knowledge libraries to support knowledge sharing.
- Providing technical guidance and expertise to colleagues, supporting a culture of collaboration and development.
- You will have;
- Proven experience designing, developing and supporting ETL/ELT data pipelines.
- Good understanding of data modelling principles and the creation of data solutions that support reporting and analytics.
- Experience working with Microsoft data technologies.
- A strong ability to learn new technologies quickly and adapt to changing business and technical requirements.
- Excellent problem-solving and communication skills, with the ability to work across technical and non-technical teams.
- Anunderstanding of corporate change processes and the role IT plays in digital transformation.
- Knowledge of data security and privacy regulations (e. g., GDPR).
Sheffield Hallam welcomes applications from all candidates irrespective of age, pregnancy and maternity, disability, sex, gender reassignment, sexual orientation, race, religion or belief, or marital or civil partnership status.
We welcome applications for job-share, part-time and flexible working arrangements
You will be contractually enrolled into the Local Government Pension Scheme (LGPS) – one of the largest and most generous defined benefit pension schemes in the country.
If you are currently a member of the Universities Superannuation Scheme (USS), you can choose to opt out of the LGPS and remain in the USS.
Please contact the Pensions team to discuss options available.
The University may be able to sponsor the employment of international applicants in this role; this will depend on a number of factors specific to the individual applicant.
We are committed to ensuring our materials are accessible to all.
If you encounter any accessibility barriers or have suggestions for improvement please contact us using our web accessibility report form .
Your feedback helps us enhance our accessibility efforts and improve our services.
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Data Engineer - 2 roles in Sheffield employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - 2 roles in Sheffield
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Corehr!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Corehr.
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We think you need these skills to ace Data Engineer - 2 roles in Sheffield
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Corehr, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Corehr. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Corehr
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Corehr!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
