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- Tasks: Join us as a Senior Python Engineer to build scalable data solutions and APIs.
- Company: Work with a leading insurance client in the heart of London.
- Benefits: Enjoy flexible working 2-3 days a week with competitive pay of £600-650pd.
- Why this job: Be part of an innovative team shaping the future of data processing in insurance.
- Qualifications: Experience with Python, PySpark, and cloud platforms like Azure or AWS is essential.
- Other info: This is a contract role offering exciting challenges and opportunities for growth.
Our Insurance client are looking for a Senior Python Engineer to play a key role in building their scalable data capabilities; designing ingestion pipelines, high-performance APIs, and real-time data processing systems.
Key Responsibilities
- Stack: Python, PySpark, Linux, PostgreSQL, SQL Server, Databricks, Azure, AWS
- Design and implement large-scale data ingestion, transformation, and analysis solutions
- Model datasets and develop indicators to improve data quality
- Collaborate on Infrastructure as Code, CI/CD pipelines, and application/API security standards
- Evaluate new data sources and automate quality assurance in the development lifecycle
If this looks like a good match, please apply now!
Senior Python Engineer | London | £600-650pd employer: Wilson Brown
Contact Detail:
Wilson Brown Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer | London | £600-650pd
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as PySpark and Databricks. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the insurance and data engineering sectors. Attend meetups or webinars to connect with potential colleagues or hiring managers who might provide insights or referrals.
✨Tip Number 3
Prepare to discuss your experience with Infrastructure as Code and CI/CD pipelines during interviews. Be ready to share specific examples of how you've implemented these practices in past projects.
✨Tip Number 4
Research the company’s current data capabilities and challenges. Tailoring your conversation to show how your skills can directly address their needs will demonstrate your genuine interest and understanding of the role.
We think you need these skills to ace Senior Python Engineer | London | £600-650pd
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PySpark, and any relevant cloud technologies like Azure or AWS. Emphasise your previous roles in building data ingestion pipelines and APIs.
Craft a Strong Cover Letter: In your cover letter, explain why you're a great fit for the role. Mention specific projects where you've designed scalable data solutions and how you collaborated on CI/CD pipelines.
Showcase Relevant Projects: If you have worked on projects involving real-time data processing or data quality improvement, include these in your application. Use metrics to demonstrate the impact of your work.
Highlight Soft Skills: Don't forget to mention your collaboration skills, especially since the role involves working with teams on infrastructure and security standards. Provide examples of how you've successfully worked in a team environment.
How to prepare for a job interview at Wilson Brown
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've designed and implemented data ingestion pipelines or APIs, and be ready to explain the challenges you faced and how you overcame them.
✨Familiarise Yourself with the Tech Stack
Make sure you understand the technologies mentioned in the job description, such as PySpark, PostgreSQL, and Azure. Brush up on your knowledge of these tools, as you may be asked to demonstrate your familiarity during the interview.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice coding challenges related to data processing and transformation, as well as scenarios involving real-time data systems to showcase your analytical thinking.
✨Emphasise Collaboration and Communication
Since the role involves collaboration on Infrastructure as Code and CI/CD pipelines, be ready to discuss your experience working in teams. Share examples of how you've communicated complex technical concepts to non-technical stakeholders.
