At a Glance
- Tasks: Lead the design and delivery of cutting-edge data and AI platforms.
- Company: Join a forward-thinking recruitment firm in London with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborate with clients and product teams in a dynamic, innovative environment.
- Why this job: Make a real impact by building cloud-native solutions and mentoring a talented team.
- Qualifications: Experience in data engineering and proficiency in Python, PySpark, and SQL.
The predicted salary is between 60750 - 74250 £ per year.
Understanding Recruitment is seeking a Lead Data Engineer in London with a hybrid working pattern. You will lead the design and delivery of enterprise-scale data and AI platforms, building cloud-native solutions using Databricks, Azure, AWS and GCP, and developing scalable ETL/ELT pipelines with Python, PySpark and SQL.
You’ll mentor a team of Data & Platform Engineers and work on AI deployment in production. The role offers collaboration with clients and product teams to deliver high-impact solutions.
Lead Data Engineer: AI & Cloud Platform Leader in London employer: Understanding Recruitment
Join a forward-thinking technical consultancy that values innovation and collaboration, offering a dynamic work culture where your expertise in AWS cloud and software engineering will be recognised and rewarded. With competitive salaries, a generous benefits package including a yearly bonus and enhanced parental leave, and opportunities for professional growth, this role as Lead Cloud Engineer in locations like Surrey, Bristol, and Glasgow provides a unique chance to lead impactful projects while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer: AI & Cloud Platform Leader in London
✨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 Understanding Recruitment!
✨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: AI & Cloud Platform Leader at Understanding Recruitment.
✨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 Understanding Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer: AI & Cloud Platform Leader at Understanding Recruitment, 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: AI & Cloud Platform Leader in London
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 Understanding Recruitment, 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 Understanding Recruitment. 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 Understanding Recruitment
✨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 Understanding Recruitment!
✨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.
