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- Tasks: Build efficient data pipelines and collaborate with a talented team.
- Company: Leading algorithmic insurance provider in Greater London.
- Benefits: Competitive salary, flexible working, and opportunities for growth.
- Why this job: Make a real impact in modernising the data landscape.
- Qualifications: Strong Python skills and experience with PostgreSQL and cloud tech.
- Other info: Join a dynamic, agile team focused on innovation.
The predicted salary is between 42000 - 60000 £ per year.
A leading algorithmic insurance provider in Greater London is looking for a Mid-Senior Software Engineer to enhance their data capabilities. You will join the Portfolio Data squad, focusing on developing efficient data pipelines and collaborating with actuaries, data scientists, and engineers. This role requires strong Python skills, experience with database solutions like PostgreSQL, and a solid understanding of cloud technologies. Join us in modernising the data landscape and making impactful contributions in a dynamic, agile team environment.
Mid-Senior Data Engineer, Data Platform & MLOps employer: Ki
Contact Detail:
Ki Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid-Senior Data Engineer, Data Platform & MLOps
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines or any relevant projects. This is your chance to demonstrate your Python prowess and cloud tech knowledge in a way that words on a CV can't.
✨Tip Number 3
Prepare for the technical interview! Brush up on your database solutions, especially PostgreSQL, and be ready to discuss how you've tackled challenges in previous roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Mid-Senior Data Engineer, Data Platform & MLOps
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and experience with PostgreSQL. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our team and how you can contribute to modernising the data landscape. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working closely with actuaries and data scientists, make sure to mention any past experiences where you’ve successfully collaborated in a team. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Ki
✨Know Your Tech Stack
Make sure you brush up on your Python skills and be ready to discuss your experience with PostgreSQL and cloud technologies. Prepare examples of how you've used these tools in past projects, as this will show your practical knowledge and problem-solving abilities.
✨Understand the Business Context
Research the company’s role in the insurance industry and how data impacts their operations. Being able to discuss how your work as a Data Engineer can enhance their data capabilities will demonstrate your interest and alignment with their goals.
✨Collaborate Like a Pro
Since you'll be working closely with actuaries, data scientists, and engineers, think of examples where you've successfully collaborated in a team. Highlight your communication skills and how you’ve contributed to a dynamic, agile environment in previous roles.
✨Prepare Questions
Have a few thoughtful questions ready about the team, the projects you'll be working on, and the company culture. This shows that you're genuinely interested in the role and helps you assess if it's the right fit for you too.