At a Glance
- Tasks: Build and evolve data platform infrastructure while enabling AI-powered workflows.
- Company: Join DeepL, a global leader in AI technology and innovation.
- Benefits: Enjoy hybrid work, competitive salary, virtual shares, and 30 days annual leave.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- Why this job: Shape the future of AI and make a meaningful impact on communication.
- Qualifications: Experience in cloud data infrastructure and proficiency in Python required.
The predicted salary is between 80000 - 100000 £ per year.
DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors.
Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey.
What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected.
DeepL's Language AI reaches over 100 million users, but the decisions behind every model improvement, every product launch, and every business milestone run on data. The Data Platform team is the engineering foundation that makes that possible. We build and operate the infrastructure that the entire company relies on to work with data effectively.
Your responsibilities include:
- Build and evolve the data platform infrastructure: shape and advance the core infrastructure our data ecosystem runs on.
- Enable AI-powered data workflows: build the connectors, interfaces, and integrations that bring data into the hands of humans and AI agents alike.
- Make data trustworthy at scale: build the systems that make data reliable, not just available.
- Steward infrastructure, developer experience, and governance: take responsibility for how the platform is built and operated.
Qualities we look for:
- Must-have: Cloud data infrastructure experience, Python proficiency, reliability and operational excellence, a platform-product mindset.
- Expected: Clear, cross-functional communication, AI-native velocity.
- Nice-to-have: Lakehouse and streaming technologies experience.
What we offer includes:
- Diverse and internationally distributed team.
- Open communication, regular feedback.
- Hybrid work, flexible hours.
- Virtual Shares.
- Regular in-person team events.
- Monthly full-day hacking sessions.
- 30 days of annual leave.
- Competitive benefits.
If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together.
We are an equal opportunity employer. You are welcome at DeepL for who you are - we appreciate authenticity here.
Senior Data Platform Engineer in London employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform 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 Doist!
✨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 Platform Engineer at Doist.
✨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 Doist.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Platform 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 Doist, 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 Doist. 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 Doist
✨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 Doist!
✨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.
