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- Tasks: Join a team to deliver an end-to-end data platform using AWS and Python.
- Company: Work with a leading Financial Services client known for innovation.
- Benefits: Earn £600 - 625 per day with flexible on-site requirements in London.
- Why this job: Great opportunity to enhance your skills in a dynamic financial environment.
- Qualifications: Must have experience in AWS, Python, and big data frameworks.
- Other info: This is a contract role inside IR35, requiring weekly on-site presence.
The predicted salary is between 46800 - 58500 £ per year.
Contract AWS Data Engineer – Inside IR 35
Once a week on-site in London
£600 – 625 per day, Inside IR 35
We are currently working with a leading Financial Services client who is looking for an AWS Data Engineer to support an end-to-end platform delivery programme.
This will be an Inside IR35 Contract. Please see the required skills below:
- Extensive experience in Data platform development and delivery
- Expertise in AWS, Python, Pyspark, and big data frameworks
- Experience with datalakes, orchestration tools, and automation workflows, as well as working with enterprise-scale data infrastructures
- Experience working in Financial Services or Banking
If this is of interest, please send through an up-to-date version of your CV.
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AWS Data Engineer employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Make sure to highlight your experience with AWS and big data frameworks in your conversations. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Tip Number 2
Familiarize yourself with the financial services sector. Understanding the unique challenges and requirements of this industry can give you an edge during discussions.
✨Tip Number 3
Prepare to demonstrate your knowledge of orchestration tools and automation workflows. Have examples ready that showcase how you've optimized data processes in previous roles.
✨Tip Number 4
Network with professionals in the financial services and data engineering fields. Engaging with others can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in data platform development and delivery. Emphasize your expertise in AWS, Python, Pyspark, and big data frameworks, as these are crucial for the role.
Showcase Relevant Experience: Include specific examples of your work with datalakes, orchestration tools, and automation workflows. If you have experience in Financial Services or Banking, be sure to detail that as well.
Craft a Strong Cover Letter: Write a cover letter that connects your skills and experiences directly to the job description. Explain why you are interested in this position and how you can contribute to the end-to-end platform delivery programme.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is essential for a Data Engineer role.
How to prepare for a job interview at Investigo
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Python, and Pyspark in detail. Highlight specific projects where you developed data platforms or worked with big data frameworks, as this will demonstrate your expertise.
✨Understand Financial Services Context
Since the role is within the Financial Services sector, familiarize yourself with industry-specific challenges and regulations. Be ready to discuss how your previous experience aligns with these aspects.
✨Discuss Automation and Orchestration
Prepare examples of how you've implemented automation workflows and used orchestration tools in past projects. This will show your ability to streamline processes and improve efficiency in data handling.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
