At a Glance
- Tasks: Build and evolve a self-service data platform for Product, Engineering, and GTM teams.
- Company: Join LocalStack, a fast-growing startup revolutionising cloud development.
- Benefits: Enjoy fully remote work, competitive salary, and annual company retreats.
- Other info: Be part of a friendly, inclusive culture with opportunities for growth and impact.
- Why this job: Shape the future of cloud development with cutting-edge technology and innovative projects.
- Qualifications: 6+ years of hands-on data experience and proficiency in Python, SQL, and real-time analytics.
The predicted salary is between 80100 - 97900 £ per year.
LocalStack is a fast-growing Series A startup building cutting-edge technology to revolutionise cloud development processes and support highly efficient dev & test feedback loops. LocalStack is a local cloud development platform that makes it easier, faster, and less expensive for software teams to ship reliable, high-quality applications to the cloud.
The cloud was built to run software, not to support AI-native development workflows. As the world's leading local cloud development platform, LocalStack provides secure local sandboxes that simulate cloud environments, enabling AI agents and software developers to find and fix risks faster and more effectively than they can in the cloud.
Our customer base ranges from SMBs to Global Fortune 500 companies, including clients like NASA, Harness, IBM, Workday, Comcast, Apple, 3M, Block, and many more.
We are sustainably growing our globally distributed teams across GTM, operations, and engineering. In 2025 we almost doubled in size and continue to grow across all areas in 2026.
LocalStack is headquartered in Zurich/Switzerland, with a small engineering office in Vienna/Austria and remote team members from 25 countries including the US, France, UK, Canada, Spain, and many more!
What you will be working on/responsible for:
- Build and evolve a self-service data platform that enables Product, Engineering, and GTM teams.
- Define and maintain data quality standards, SLAs/SLOs, monitoring, and incident-response processes.
- Own GTM-facing data support, manage data access appropriately, and identify and address potential PII exposure.
- Establish canonical data models, consistent metric definitions, and modelling standards across priority domains.
- Establish effective planning, delivery processes, documentation, and ways of working, including the use of AI tools.
- Own quarterly data OKRs and prioritise a balanced roadmap covering business needs and measure success through business impact and improved efficiency.
- Directly manage and develop the Data team through regular one-to-ones, feedback, performance management, and hiring.
Experience we expect you to bring to the role:
- Hands-on data experience (6+ years) across data engineering and analytics, comfortable building pipelines.
- Experience with Python, SQL, Snowflake or equivalent, real-time analytics (Tinybird, ClickHouse, or similar), AI-assisted coding tools day to day.
- Experience building reusable datasets, documentation, or a metrics / BI layer that non-data teams adopted and used without help.
Values we hold in LocalStack:
- Care: We create with compassion. We prioritise empathy and understanding in every interaction.
- Ownership: We own the outcome. We take responsibility for our work and are passionate about its impact.
- Openness: We build trust together. We build trust through open communication and honest feedback.
- Courage: We dare to innovate. We embrace bold challenges and take calculated risks to move the needle.
- Excellence: We chase the extraordinary. We chase excellence by pushing boundaries and delivering results that go beyond the ordinary.
Benefits:
- Fully remote
- Competitive salary
- Annual company retreat
- 2 extra company-wide holidays
- Friendly and inclusive workplace culture (community guilds and online company events)
Sounds like a good match? We'd love to hear from you! Join us in shaping the future of cloud development at LocalStack. To apply, follow the application process. Make sure to include a short motivation outlining why you are the perfect candidate for this role.
If your profile looks like a good match, our talent team will be in touch to organise further steps within 2 weeks. Please note, that due to a high volume of candidates, we cannot offer personalised feedback to each candidate.
Data Platform Manager in London employer: LocalStack
LocalStack is an exceptional employer that fosters a culture of care, ownership, and innovation, making it an ideal place for a Senior DevOps Engineer to thrive. With a commitment to employee growth and a remote-first environment, team members enjoy the flexibility of working from various locations while contributing to cutting-edge technology that supports major clients like NASA and IBM. The company's focus on excellence and open communication ensures that every employee feels valued and empowered to make a meaningful impact in their role.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Manager 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 LocalStack!
✨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 Platform Manager at LocalStack.
✨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 LocalStack.
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We think you need these skills to ace Data Platform Manager 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 LocalStack, 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 LocalStack. 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 LocalStack
✨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 LocalStack!
✨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.
