At a Glance
- Tasks: Build and maintain data systems, pipelines, and architectures for accurate and secure data processing.
- Company: Top investment bank with a cutting-edge platform engineering team.
- Benefits: Hybrid work model, competitive contract rates, and exposure to innovative technologies.
- Other info: Opportunity to work with modern tech like Databricks and Snowflake.
- Why this job: Join a mission-critical team and make a real impact in the financial sector.
- Qualifications: Experience in AWS data engineering and front-office environments is essential.
The predicted salary is between 60000 - 80000 £ per year.
AWS Data Engineer – Top Investment Bank
Location: London
Hybrid: 2/3 days per week in London office
Contract: 6 - 12 Month Initial Contract (View to be extended)
Must Have: Financial Services / Front-Office Experience
About the Role
Join a mission-critical team within our firm's cutting-edge platform engineering function, supporting the business in a unique hands-on opportunity within a focused, high-impact team. You'll be at the forefront of data and cloud-native engineering, working with modern technologies across AWS, On-premise Kubernetes, Python, and data pipelines, while engaging directly with key internal platforms and front-office business developers. If you are passionate about solving hard technical problems, staying current with technology trends and want to make a difference in a globally respected financial institution, this role is for you.
The successful AWS Data Engineer candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake in the heart of a leading global Investment Bank. This rare project offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors.
What We're Looking For
- Hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.
- Experience engineering in a front-office/capital markets environment.
- Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.
- Proficiency in data processing and analysis using Python and SQL.
- Strong knowledge of market data and its applications.
- Understanding of Generative AI concepts, along with hands-on experience in developing and deploying AI applications in real-world environments.
Nice to Have
- Experience with other data engineering tools and technologies.
- Knowledge of Machine Learning / AI and data science concepts.
Accountabilities
- To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientists to build and deploy machine learning models.
AWS Data Engineer - Investment Banking in London employer: Caspian One
As a leading global investment bank, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and professional growth. Our London office offers a unique hybrid working model, allowing you to balance your time between home and our state-of-the-art facilities, while engaging in impactful projects that shape the future of financial services. Join us to collaborate with top-tier professionals, leverage cutting-edge technologies, and make a meaningful contribution to the world of data engineering in a supportive environment that values your expertise.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer - Investment Banking in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a top investment bank. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you land an interview, don’t just talk about your experience—show it! Bring along a portfolio of projects or examples of your work with AWS, Python, or data pipelines. Let your skills do the talking!
✨Tailor Your Approach
Every role is unique, so make sure to tailor your pitch for each interview. Highlight your front-office experience and how it relates to the specific challenges faced by the investment banking sector. Make it personal!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also puts you in touch with a supportive community ready to help you succeed!
We think you need these skills to ace AWS Data Engineer - Investment Banking in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AWS Data Engineer role. Highlight your hands-on experience with AWS technologies and any relevant financial services background. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission-critical team. Keep it concise but impactful, and don’t forget to mention your experience in front-office environments.
Showcase Your Technical Skills:In your application, be sure to showcase your technical skills, especially with tools like Glue, PySpark, and Databricks. We love seeing specific examples of how you've used these technologies to solve problems or improve processes in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Caspian One
✨Know Your AWS Inside Out
Make sure you brush up on your AWS data engineering skills, especially with tools like Glue, PySpark, and Athena. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Financial Services Experience
Since this role is in investment banking, it’s crucial to highlight your front-office experience. Prepare examples of how you've contributed to projects in a capital markets environment and how your work has impacted the business positively.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle some technical problems during the interview. Think about common data pipeline challenges and how you would approach solving them. This will show your analytical thinking and hands-on experience.
✨Stay Current with Trends
Familiarise yourself with the latest trends in data engineering and generative AI. Being able to discuss recent advancements or tools like Databricks and Snowflake will demonstrate your passion for the field and your commitment to continuous learning.
