Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines for safety monitoring and abuse detection.
- Company: Leading AI research firm focused on safety and innovation.
- Benefits: Competitive compensation and opportunities for professional growth.
- Other info: Collaborative environment with engineers and data scientists.
- Why this job: Join a mission-driven team to enhance safety in AI systems.
- Qualifications: Strong SQL and Python skills, experience with dbt and Airflow.
The predicted salary is between 50000 - 65000 £ per year.
A leading AI research firm is seeking a Data Engineer to join its Safeguards team in the UK. This role involves designing and maintaining data pipelines that support safety monitoring and abuse detection.
The ideal candidate should have strong SQL and Python skills, along with experience in modern data stack tools like dbt and Airflow. You will collaborate closely with engineers and data scientists to ensure data reliability and drive safety improvements in AI systems. Competitive compensation offered.
Data Engineer for Safe AI Data Pipelines & Dashboards employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer for Safe AI Data Pipelines & Dashboards
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn. Join relevant groups and engage in discussions. You never know who might have a lead on that perfect Data Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL and Python. If you've worked with dbt or Airflow, highlight those experiences. This will give potential employers a taste of what you can bring to their Safeguards team.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Be ready to discuss how you've designed and maintained data pipelines in the past. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer for Safe AI Data Pipelines & Dashboards
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in past projects, especially if you've worked with dbt or Airflow!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We love seeing candidates who understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience at a glance.
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’s super easy!
How to prepare for a job interview at Anthropic
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to data pipelines and dashboards.
✨Familiarise with Tools
Get comfortable with modern data stack tools like dbt and Airflow. If you have experience using them, prepare to share specific examples of how you've implemented these tools to enhance data reliability and safety.
✨Collaboration is Key
Since this role involves working closely with engineers and data scientists, think about times when you've successfully collaborated with others. Be prepared to discuss how you communicate and work as part of a team to drive improvements.
✨Show Your Passion for AI Safety
Research the company's focus on safety monitoring and abuse detection in AI systems. Be ready to express why you're passionate about this area and how you can contribute to their mission of improving safety in AI.