At a Glance
- Tasks: Build and scale AWS-based data platforms for real-time decision-making.
- Company: Innovative tech company focused on clean energy solutions.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Join a mission-driven team solving complex problems with data.
- Why this job: Make a real impact by developing critical systems that drive commercial success.
- Qualifications: Experience with AWS, Python/TypeScript, and building reliable data platforms.
The predicted salary is between 60000 - 80000 £ per year.
Operating at the intersection of software and data, my client is looking to hire a Data Platform Engineer/ Software Engineer (Data), to continue building a sophisticated platform that processes high volumes of operational and market data in real time, enabling intelligent decision-making at scale. This isn't a traditional Data Engineering role. You'll be building and scaling the operational data platform that powers a core revenue-generating function of the business. The systems you build will support forecasting, optimisation, reconciliation and real-time operational decision-making. Reliability, latency and scalability matter because the platform sits directly in the path of commercial outcomes. If you enjoy building production-grade systems where data is used to drive action rather than reporting, this could be an excellent opportunity.
What You'll Be Doing
- Building and scaling AWS-based operational data platforms
- Designing and implementing real-time streaming pipelines processing high-volume operational and market data
- Developing datasets and data services that power critical business workflows
- Building robust data lake and warehouse architectures for both batch and real-time use cases
- Creating highly observable, reliable and testable systems with strong engineering standards
- Automating infrastructure deployment through Infrastructure as Code
- Working closely with engineers, analysts and business stakeholders to deliver scalable solutions
- Contributing to the evolution of a modern, data-first platform operating at significant scale
What They're Looking For
- Strong experience building production-grade data platforms on AWS
- Experience working with streaming or event-driven architectures
- Strong Python and/or TypeScript engineering skills
- Experience with Infrastructure as Code, ideally AWS CDK
- A solid understanding of data platform design, scalability and performance optimisation
- Experience building reliable systems with CI/CD, testing and observability practices
- Knowledge of modern data storage technologies and large-scale data processing
Why This Role Stands Out
Most Data Engineering roles focus on moving data from A to B. This role is different. You'll be building the operational platform that underpins critical commercial workflows. The challenges are genuinely engineering-focused: High-volume event processing, real-time decision support, low-latency data systems, platform reliability and observability, revenue-critical infrastructure. You'll join a business with a genuine tech-for-good mission, solving complex problems with data while helping shape the future of clean energy. If you're a Senior Data Engineer, Data Infrastructure Engineer, Platform Engineer, or Software Engineer with a passion for building scalable data systems, please reach out today.
Data Platform Engineer in City of London employer: Cognify Search
As a Data Platform Engineer at our London-based company, you'll be part of a dynamic team dedicated to building cutting-edge operational data platforms that drive intelligent decision-making in the clean energy sector. We foster a collaborative work culture that prioritises innovation and employee growth, offering opportunities to work with advanced technologies while contributing to a meaningful tech-for-good mission. Enjoy the benefits of a hybrid working model, competitive compensation, and a commitment to your professional development in a role that truly impacts commercial outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in City of London
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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 Cognify Search!
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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 Cognify Search.
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We think you need these skills to ace Data Platform Engineer in City of 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 Cognify Search, 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 Cognify Search. 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 Cognify Search
✨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 Cognify Search!
✨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.
