At a Glance
- Tasks: Lead a team to enhance Audience Measurement platforms using modern Python and cloud services.
- Company: Ipsos, a leader in data-driven insights and audience measurement.
- Benefits: Hybrid work model, comprehensive benefits, annual leave, and professional development.
- Other info: Opportunity for leadership and growth in a fast-paced environment.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Extensive data engineering experience and strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
Ipsos is seeking a Lead Data Engineer in Cambridge to drive the evolution of our Audience Measurement platforms. You will lead a team, focusing on modern Python applications, cloud services, and data-driven solutions while ensuring operational stability and scalability.
The ideal candidate will have extensive experience in data engineering, strong programming skills, and a leadership mindset.
We offer a hybrid work approach along with a comprehensive benefits package, including annual leave and professional development opportunities.
Lead Data Engineer — Serverless Data Platform in Cambridge employer: Ipsos
Ipsos is an excellent employer for those looking to make a significant impact in the field of data engineering. With a strong focus on innovation and collaboration, our Cambridge location offers a vibrant work culture that encourages professional growth through continuous learning and development opportunities. Enjoy the flexibility of a hybrid work model, alongside a comprehensive benefits package that supports both your personal and professional aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer — Serverless Data Platform in Cambridge
✨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 Ipsos!
✨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 Lead Data Engineer — Serverless Data Platform at Ipsos.
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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 Ipsos.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer — Serverless Data Platform at Ipsos, 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 Lead Data Engineer — Serverless Data Platform in Cambridge
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 Ipsos, 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 Ipsos. 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 Ipsos
✨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 Ipsos!
✨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.
