At a Glance
- Tasks: Build scalable cloud-native data platforms and develop modern data architectures for AI-driven solutions.
- Company: Join an AI-native consultancy transforming global enterprises into data-driven organisations.
- Benefits: Up to £115k salary, bonus, hybrid working, and opportunities for professional growth.
- Other info: Collaborate with AI Engineers and support enterprise data transformation initiatives.
- Why this job: Work at the forefront of AI and data technology, making a real impact.
- Qualifications: Strong problem-solving skills and experience in fast-paced environments required.
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. With a hybrid working model and a focus on employee growth, you'll have the opportunity to develop cutting-edge data platforms while working alongside industry experts. Enjoy competitive compensation, a supportive work culture, and the chance to be at the forefront of AI transformation initiatives.
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. Practice common interview questions related to data architectures and ETL processes, so you can confidently showcase your expertise.
✨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 your interest in AI-driven solutions!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical examples of your skills, especially in building scalable data architectures or using tools like Kafka or Azure.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your strong systems-thinking and problem-solving abilities, which are crucial for this role.
✨Understand AI/ML Workflows
Since the consultancy focuses on AI-driven solutions, it’s essential to have a grasp of AI/ML workflows. Familiarise yourself with emerging AI tools and be ready to discuss how they can enhance data platforms. This shows your enthusiasm for the field and your commitment to staying updated.
✨Communicate Effectively
Practice articulating your thoughts clearly, especially when discussing technical concepts. Remember, you’ll need to communicate with both technical and business stakeholders. Tailor your language to suit your audience, and don’t hesitate to ask clarifying questions if needed.
