Senior Data Engineer – AI Cloud Security
Fully Remote | £140k
Oliver Bernard are working with an innovative client in the cloud security space who are building an AI-first platform that helps organisations identify, understand, and reduce real security risk across their cloud environments. They\'re expanding their engineering function and are now looking for an experienced Senior Data Engineer to join the team.
About the Role
This position sits at the core of their data platform. You\'ll be responsible for designing and scaling systems that handle large, complex datasets, enabling their AI agents to deliver accurate and actionable insights.
You\'ll work closely with product, ML, and backend teams, and will have genuine ownership over data architecture decisions as the platform continues to grow.
Tech Stack
- Python
- Apache Iceberg & modern lakehouse tooling
- Databricks
- Kafka
- Spark
- BigQuery or Redshift
What You\'ll Be Doing
- Building and evolving distributed data pipelines that support both batch and streaming workloads
- Developing robust data models that enable efficient analysis and vulnerability detection
- Enhancing the reliability and performance of the platform\'s data services
- Playing a key role in shaping best practices and long-term data strategy
What We\'re Looking For
- 7+ years\' experience as a Software Engineer
- 4+ years in Data Engineering with exposure to large-scale datasets
- Strong understanding of distributed systems and event-driven architectures
- Experience with cloud data warehouses (BigQuery or Redshift)
Why Apply?
- Join a well-funded, genuinely innovative AI security company
- High-impact role with plenty of opportunity to influence architecture
- Fully remote setup with flexibility
- £140k base salary + benefits
Data Platform Engineer | Remote | £140k
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in Liverpool
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Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Oliver Bernard, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Oliver Bernard
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
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Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Oliver Bernard’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
