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- Tasks: Develop cutting-edge data solutions and collaborate with diverse teams.
- Company: Join one of the fastest-growing tech companies shaping the future.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by mastering software engineering, infrastructure, and data.
- Qualifications: Proficiency in Java, Python, or Golang and strong problem-solving skills.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
The role... Our mission is bold: to build a state-of-the-art data platform that empowers teams across the organisation with fully self-serve capabilities. This enables them to easily own, process, and manage their event-driven data pipelines with efficiency and ease. At Dojo, data is at the heart of our decision-making process and influences how we understand and shape the world. To empower this, we've built a Self-Serve Data Platform that enables teams to manage, access, and process their own data independently. This platform provides the tools necessary for teams to make a significant impact quickly and at scale. Join us and be part of one of the fastest-growing tech companies, leveraging an advanced tech stack to shape the future of our industry.
Our Data Platform operates seamlessly across multi-cloud environments, leveraging both AWS and GCP. Built on the latest open-source technologies, it allows us to not only push the boundaries of data engineering and analytics but also contribute back to the open-source community through continuous innovation and solution development.
What you'll do... This role will allow you to master the three pillars of every organisation:
- Software Engineering: Develop microservices, libraries, Flink jobs, data pipelines, and Kubernetes controllers.
- Stakeholder Collaboration: Work closely with both technical and non-technical stakeholders to define, design, and implement solutions within our Data Platform. Trusted relationships will be key for success.
- Lead Technological Initiatives: Drive forward market-leading projects, exploring and integrating new technologies into our ecosystem.
- Platform as a Product: Deliver self-serve products with strong SLAs/SLOs to the business, ensuring their scalability and reliability.
- Developer Experience: Focus on optimising the developer experience to simplify platform adoption and onboarding.
What you'll bring... Problem solving skills: Strong problem solving skills which can help navigate problems in day to day work.
Programming Proficiency: Experience with Java, Python, or Golang with hands-on expertise in building scalable systems.
Collaboration Skills: A proven ability to collaborate effectively with a diverse set of stakeholders, aligning technical solutions with business needs. This position requires not only deep technical expertise but also a proactive, engaging approach to working with others and building lasting partnerships.
AI Engineer in London employer: Dojo
Contact Detail:
Dojo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Dojo. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving microservices or data pipelines. This gives you a chance to demonstrate your programming prowess and problem-solving skills.
✨Tip Number 3
Prepare for interviews by brushing up on your collaboration skills. Be ready to discuss how you've worked with both technical and non-technical stakeholders in the past. It's all about showing you can build those trusted relationships!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of our mission to empower teams with self-serve capabilities.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data and technology. Share any personal projects or experiences that highlight your love for building data solutions and how they align with our mission at Dojo.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight relevant skills like programming in Java, Python, or Golang, and showcase your experience with data pipelines and microservices. We want to see how you can contribute to our self-serve data platform!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we appreciate straightforward communication!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Dojo!
How to prepare for a job interview at Dojo
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like AWS, GCP, Java, Python, and Golang. Be ready to discuss your experience with these tools and how you've used them to build scalable systems.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your strong problem-solving skills.
✨Emphasise Collaboration
Since this role involves working closely with both technical and non-technical stakeholders, be prepared to discuss your collaboration experiences. Share specific instances where you aligned technical solutions with business needs and built trusted relationships.
✨Demonstrate a Proactive Approach
Express your enthusiasm for driving technological initiatives and contributing to the open-source community. Discuss any projects where you've explored new technologies or optimised developer experiences, showcasing your proactive mindset.