At a Glance
- Tasks: Lead the development of UCL’s enterprise data platform and drive innovative data solutions.
- Company: UCL, a top-ranked global university committed to tackling major challenges.
- Benefits: 41 days holiday, pension scheme, on-site gym, and employee support services.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Join a dynamic team and make a real impact in data engineering and analytics.
- Qualifications: Expertise in cloud data platforms, SQL, Python, and scalable architecture design.
The predicted salary is between 56700 - 69300 £ per year.
UCL is a world-leading teaching and research university, often ranked in the top ten in the world with an annual turnover of well over £1 billion. Part of UCL’s vision is to take on the hardest global challenges.
The Information Services Division (ISD) is the primary provider of IT services to UCL. We support and enhance learning, teaching, research and administrative processes by providing information- and technology-related services to over 50,000 staff and students of UCL and associated institutions.
You will be required to provide advanced technical leadership for architecting, building and scaling UCL’s enterprise data platform. This includes modern data engineering, cloud data lakehouse development, distributed compute, data modelling, metadata/lineage services, self-service analytics enablement, and AI-driven data automation.
To be considered for this exciting and challenging role, the candidate will be required to have strong mix of the following technical skills and experience:
- Extensive expertise in modern cloud data platforms (Azure preferred).
- Strong experience designing and building enterprise-grade Data Lakes / Lakehouses, ETL/ELT, streaming, and distributed compute.
- Expertise in SQL, Python, data modelling, metadata management, data cataloguing and lineage.
- Strong understanding of governance, security, compliance and data quality frameworks.
- Experience designing scalable architectures (batch, near-real-time, streaming).
- Ability to lead technical delivery in Agile and hybrid environments.
As well as the exciting opportunities this role presents, we also offer some great benefits:
- 41 Days holiday (27 days annual leave, 8 bank holidays and 6 closure days).
- Additional 5 days’ annual leave purchase scheme.
- Defined benefit career average revalued earnings pension scheme (CARE).
- Cycle to work scheme and season ticket loan.
- Immigration loan.
- Relocation scheme for certain posts.
- On-Site nursery.
- On-site gym.
- Enhanced maternity, paternity and adoption pay.
- Employee assistance programme: Staff Support Service.
- Discounted medical insurance.
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people, and for our Grade 9 and 10 roles, women.
Senior Technical Lead employer: UCL
The Faculty of Social and Historical Sciences offers a dynamic and supportive work environment, where your contributions to student recruitment and marketing will be valued. With a strong emphasis on professional development, you will have opportunities to grow your skills in higher education admissions and digital marketing while collaborating with a diverse team dedicated to excellence in teaching and research. Located in a vibrant academic community, this role provides a unique chance to engage with prospective students and make a meaningful impact on their educational journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Lead
✨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 UCL!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Technical Lead at UCL.
✨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 UCL.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Technical Lead at UCL, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Technical Lead
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 UCL, 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 UCL. 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 UCL
✨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 UCL!
✨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.
