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- Tasks: Design and optimise scalable data pipelines using modern tools in a fast-paced fintech.
- Company: Join a high-growth fintech that values innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for continuous learning.
- Why this job: Make a real impact on data infrastructure while working with cutting-edge technologies.
- Qualifications: Experience in data engineering, Python, SQL, and AWS required.
- Other info: Dynamic environment with strong focus on autonomy and career growth.
The predicted salary is between 64000 - 84000 £ per year.
We are proud to partner with a high-growth fintech on the lookout for an AWS Data Engineer to join their fast-paced, data-driven organisation. This role is a great opportunity for someone who is eager to make an impact and get hands-on with modern tools.
You will design, build, and optimise scalable data pipelines and warehouse solutions while collaborating across teams to ensure reliable, secure, and efficient data infrastructure for the organisation.
What you’ll be doing:
- Design, develop, and maintain scalable data architectures and ETL pipelines
- Build and manage data models and data warehouse solutions (Airflow, dbt, and Redshift)
- Write clean, efficient Python and SQL code for data processing and transformation
- Integrate data from internal and third-party APIs and services
- Optimise data pipelines for performance, scalability, and reliability
- Collaborate with data scientists, analysts, and engineering teams to support business needs
- Implement and uphold data security and compliance standards
- Use version control systems (e.g. Git) to manage and maintain project codebases
- Contribute to the continuous improvement of data processes and tooling across the organisation
Experience required:
- Proven experience in data engineering and building scalable data solutions
- Strong experience with ETL processes, data modelling, and data warehousing
- Proficiency in Python and SQL
- Expertise in relational (SQL) and NoSQL database technologies
- Hands-on experience with AWS
- Solid understanding of data security, privacy, and compliance principles
- Ability to optimise data pipelines for performance and maintainability
- Strong collaboration skills and a proactive, problem-solving mindset
Bonus Points For:
- Experience with Airflow and/or dbt
- Experience working in Agile environments (Scrum/Kanban)
- Exposure to DevOps practices or CI/CD pipelines
You will join a business that values innovation, collaboration, and continuous learning, with a culture that champions autonomy and impact.
McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
AWS Data Engineer in City of London employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving AWS, Python, and SQL. Having tangible examples of your work can really set you apart from the crowd.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific scenarios where you've solved problems or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make a lasting impression.
✨Apply Through Our Website
We encourage you to apply directly through our website! It not only shows your interest but also helps us keep track of your application. Plus, it’s a great way to stay updated on new opportunities that might pop up.
We think you need these skills to ace AWS Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AWS Data Engineer role. Highlight your experience with data architectures, ETL processes, and any relevant tools like Airflow or dbt. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed and optimised data pipelines or worked with AWS. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for data engineering and why you're excited about this opportunity. Share how you can make an impact in our fast-paced environment and mention any collaborative experiences you've had.
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 shows your enthusiasm for joining our team!
How to prepare for a job interview at McGregor Boyall
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like AWS, Python, SQL, and ETL processes. Brush up on your knowledge of Airflow, dbt, and Redshift, as these are crucial for the role. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering before. Think about times when you optimised data pipelines or improved data processes. This will demonstrate your proactive mindset and ability to contribute to continuous improvement, which is highly valued in a fast-paced environment.
✨Collaboration is Key
Since this role involves working closely with data scientists, analysts, and engineering teams, be ready to discuss your collaboration experiences. Share specific instances where teamwork led to successful project outcomes. Highlighting your strong communication skills will help you stand out as a candidate who can thrive in a collaborative culture.
✨Understand Data Security and Compliance
Familiarise yourself with data security principles and compliance standards relevant to the fintech industry. Be prepared to discuss how you’ve implemented these in past roles. Showing that you take data security seriously will reassure the interviewers that you can uphold their standards in a sensitive environment.
