At a Glance
- Tasks: Build scalable cloud-native data platforms and develop modern architectures for AI-driven solutions.
- Company: Join an AI-native consultancy transforming global enterprises into data-driven powerhouses.
- Benefits: Competitive salary up to £115k, bonus, and hybrid working in central London.
- Other info: Fast-paced environment with opportunities for growth and collaboration with AI experts.
- Why this job: Be at the forefront of AI and data innovation while making a real impact.
- Qualifications: Strong problem-solving skills and experience with AWS/Azure data services.
The predicted salary is between 115000 - 115000 £ per year.
Hybrid working - Central London (3 days onsite)
We’re partnered with an AI-native consultancy helping global enterprises become AI-powered, data-driven organisations through cutting-edge data and AI platforms.
What you’ll do:
- Build scalable cloud-native data platforms
- Develop modern data architectures for AI-driven solutions
- Create ETL and streaming pipelines
- Implement data mesh / data fabric solutions
- Collaborate with AI Engineers on advanced AI capabilities
- Support enterprise data and AI transformation initiatives
- AWS and/or Azure data services
- Python for data pipelines and processing
- Cloud-native data platform engineering
- Kafka, Kinesis, or MSK
- Vector or graph databases (e.g. Pinecone, Neo4j, AWS Neptune)
- Interest in AI/ML workflows and emerging AI tooling
Qualifications:
- Strong systems-thinking and problem-solving skills
- Comfortable in fast-paced, high-growth environments
- Strong communication with technical and business stakeholders/consulting experience
Data Platform Engineer | London | Up to £115k + bonus employer: Oliver Bernard
Join a forward-thinking AI-native consultancy in the heart of London, where innovation meets collaboration. As a Data Platform Engineer, you'll thrive in a hybrid work environment that fosters creativity and growth, with opportunities to develop cutting-edge data architectures and engage with advanced AI capabilities. Enjoy competitive compensation, a supportive culture, and the chance to be at the forefront of enterprise data transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer | London | Up to £115k + bonus
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native data platforms or AI-driven solutions. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with AWS, Azure, and data pipelines, as well as how you've collaborated with teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Platform Engineer | London | Up to £115k + bonus
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Platform Engineer role. Highlight your experience with cloud-native data platforms, ETL processes, and any relevant AI/ML projects to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at StudySmarter. Don’t forget to mention any specific projects or technologies you’ve worked with that relate to the job.
Showcase Your Problem-Solving Skills:We love candidates who can think on their feet! In your application, share examples of how you've tackled complex problems in past roles, especially in fast-paced environments. This will demonstrate your systems-thinking approach and adaptability.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Azure, and Python. Brush up on your knowledge of Kafka, Kinesis, and graph databases. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your strong systems-thinking abilities and how you approach problem-solving in a fast-paced environment.
✨Communicate Effectively
Practice explaining technical concepts in simple terms. You’ll need to communicate with both technical and business stakeholders, so being able to bridge that gap is crucial. Consider doing mock interviews with friends or colleagues to refine your communication style.
✨Express Your Interest in AI/ML
Since the role involves collaboration with AI Engineers, make sure to express your enthusiasm for AI and machine learning workflows. Share any relevant projects or experiences that highlight your interest and understanding of emerging AI tooling. This will help you stand out as a candidate who’s genuinely invested in the field.
