At a Glance
- Tasks: Build and scale data infrastructure for AI-driven analytics and machine learning systems.
- Company: Exciting AI startup transforming the hospitality sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for international expansion.
- Other info: Collaborative environment with excellent career growth potential.
- Why this job: Join a fast-paced team and make a real impact in AI and data engineering.
- Qualifications: Strong experience in Data Engineering, Python, SQL, and AWS services.
The predicted salary is between 60000 - 80000 £ per year.
I’m currently partnered with one of the UK’s most exciting AI-driven startups as they look to hire a Senior Data Engineer to join their growing team. This business is already transforming operations within the hospitality sector through a unique combination of AI-powered workforce planning and a large-scale flexible staffing platform. Following rapid growth and strong commercial success over the past year, they’re now scaling aggressively and preparing for international expansion.
They’re looking for an experienced, hands-on Data Engineer who can play a key role in building and scaling the infrastructure behind their analytics and machine learning systems. You’ll take ownership of data pipelines, cloud infrastructure, and production ML systems that directly power forecasting, optimisation, and real-time operational decision-making. Working closely with Data Scientists, Product teams, and Engineers, you’ll help shape a modern AWS-native data platform within a fast-moving, highly collaborative environment.
- Designing, building, and maintaining scalable ETL/ELT pipelines
- Supporting production ML systems, including LLM and forecasting workflows
- Improving reliability and performance across AWS infrastructure
- Writing and optimising complex SQL for analytics and reporting
- Building integrations across internal and external systems
Requirements:
- Strong experience in Data Engineering and cloud infrastructure
- Excellent Python and SQL skills
- Experience deploying and monitoring ML systems in production
- Exposure to AWS services such as Redshift, S3, Lambda, SageMaker, Athena etc.
Ingegnere Dei Dati in London employer: SearchWorks
Join a dynamic and innovative AI-driven startup in London that is revolutionising the hospitality sector with cutting-edge technology. As a Senior Data Engineer, you will thrive in a collaborative work culture that values creativity and growth, offering ample opportunities for professional development and international expansion. With a hybrid working model and a focus on building a modern AWS-native data platform, this company provides a unique environment where your contributions will directly impact operational success and efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere Dei Dati 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 SearchWorks!
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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 SearchWorks.
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We think you need these skills to ace Ingegnere Dei Dati 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 SearchWorks, 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 SearchWorks. 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 SearchWorks
✨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 SearchWorks!
✨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.
