At a Glance
- Tasks: Build and enhance a next-gen data platform for exceptional user experiences.
- Company: Join Atolls, the world's largest community-driven shopping platform.
- Benefits: 32 days paid vacation, flexible hybrid work, and mental health coaching.
- Other info: Inclusive culture with opportunities for personal and professional growth.
- Why this job: Shape how millions shop confidently and make smarter decisions.
- Qualifications: Experience in Python, SQL, and cloud solutions; collaborative mindset required.
The predicted salary is between 50000 - 70000 £ per year.
Atolls is the world’s largest community-driven shopping platform, active in 20+ markets. We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers. Our 1,000+ team across 10 countries builds products used every day at global scale, where you’ll have real ownership and see your impact.
About This Role: We are looking for a Data Engineer to join our Data Products team. At Atolls, your role will be instrumental in helping us build a data platform and data products that help multiple teams at the company create exceptional user experiences and empower consumers to make informed and confident shopping decisions. As a key part of our team, you’ll be directly involved in building and enhancing the digital destinations our users rely on throughout their shopping journeys. Your contributions will help shape how millions of consumers interact with our platforms, guiding them to make smart, fair, and rewarding choices.
Our Benefits: At Atolls, we believe in nurturing both your professional and personal growth. Here’s what you can expect:
- A culture that values personal and professional development, with internal mobility opportunities.
- A supportive and open-minded team that embraces diverse perspectives and innovative ideas.
- 32 days of paid vacation plus your birthday off, giving you the time you need to recharge.
- A flexible hybrid working scheme to balance work and life.
- Access to a learning budget and internal training to help you grow in your role.
- Mental health coaching to support your well-being.
- Regular global and local get-togethers to celebrate successes and build connections.
- The possibility of taking a sabbatical after three years with the company.
- A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are.
Responsibilities: In this role, you will:
- Help build our next-generation data platform, using a modern technology stack that will enable new products and analytics capabilities across the company.
- Design, build, and own end-to-end data pipelines that ingest, transform, and deliver high-quality data products used both for internal analytics and to power features experienced directly by our customers.
- Build, operate, and continuously improve the core data platform, including databases, clusters, streaming infrastructure, and other platform services, with a focus on reliability, scalability and performance.
- Continuously improve our engineering practices by enhancing CI/CD pipelines, automating workflows, adopting modern developer tooling, and leveraging LLMs to improve developer productivity.
Your Profile: We’re looking for a Data Engineer with a strong software engineering mindset who enjoys building data platforms and is dedicated to creating exceptional user experiences and driving innovation.
Technical Skills: experience writing code in Python, strong SQL skills, and experience with cloud-based solutions on AWS or GCP.
Nice to have technical Skills: ClickHouse, Terraform, CI/CD, Kubernetes, Kafka, MySQL, dbt, Airflow.
Soft Skills: we are looking for a collaborative engineer who enjoys working closely with teammates, who proactively identifies opportunities for improvement and helps drive them to completion, with the ability to explain technical ideas clearly to both technical and non-technical audiences.
Our hiring process:
- TA Call: Meet one of our Talent Experts and get to know Atolls better.
- Technical Round: Focus on the technical aspects of the role (Through a Live Case), and meet your potential manager.
- Final Round: Meet other Atollians. It varies from 1 to 3 interviews.
Ready to apply? Be part of a destination where your work helps millions of people make better decisions every day. One focused application is all we need. If you truly fit more than one role, you’re welcome to apply to up to three. This helps us match you with the right opportunity faster. We review every application with equal care and will reach out if your profile aligns. Apply now with your CV in English.
At Atolls, we want to ensure that all employees can thrive in an inclusive environment. Our employment opportunities are open to every gender, race, religion, age, sexual orientation, ability, place of origin, or socioeconomic status. We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.
Data Engineer employer: Atolls
Atolls is an excellent employer, offering a vibrant and inclusive work culture in the heart of London. Employees benefit from a supportive environment that fosters personal and professional growth, alongside opportunities to engage in meaningful projects that enhance their skills in SEO-driven content creation. With a focus on collaboration and innovation, Atolls stands out as a place where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Atolls!
✨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 Data Engineer at Atolls.
✨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 Atolls.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Atolls, 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 Data Engineer
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 Atolls, 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 Atolls. 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 Atolls
✨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 Atolls!
✨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.
