At a Glance
- Tasks: Join our team to optimise AI pipelines and manage data integrations.
- Company: Clarity, a fast-growing AI startup redefining customer experience.
- Benefits: Fully remote work, generous vacation, and stock options.
- Other info: Enjoy a vibrant culture with regular team-building events and growth opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong Python skills and experience with ML and data pipelining.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes.
Key Responsibilities and Skills:
- Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive.
- Own the Integrations: Implement new connections and be the master and owner of these integrations.
- Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure.
- ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handy with the most common libraries.
- Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference.
- Develop Monitoring Systems: Create and support robust models for monitoring.
- Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.
Qualifications:
- Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential.
- Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions.
- Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists.
- Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus.
- Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing.
- Bonus Points: Experience with Airbyte is a significant advantage.
Perks and Benefits:
- Fully Remote: Freedom to work from anywhere in the world with flexible core working hours.
- In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding.
- Generous Vacation: Benefit from our comprehensive vacation policy.
- Growth Opportunities: Access continuous professional development and growth support.
- Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture.
- Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.
About Clarity: Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences. We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry.
Senior Data Engineer in London employer: Clarity
Clarity is an exceptional employer for those looking to make a significant impact in the vibrant world of wine events. With a dynamic work culture that encourages creativity and collaboration, employees have ample opportunities for personal and professional growth while being part of a brand that is reshaping how young people engage with wine in London. The hands-on nature of the Head of Events role ensures that you will be at the forefront of exciting projects, working closely with the founder and building meaningful partnerships in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer 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 Clarity!
✨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 Data Engineer at Clarity.
✨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 Clarity.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Clarity, 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 Data Engineer 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 Clarity, 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 Clarity. 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 Clarity
✨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 Clarity!
✨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.
