Senior AWS Data Engineer
Senior AWS Data Engineer

Senior AWS Data Engineer

City of London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop scalable data architectures and ETL pipelines using modern tools.
  • Company: Join a dynamic fintech company transforming the investment landscape.
  • Benefits: Enjoy 24-29 days annual leave, flexible Fridays, and wellness days.
  • Why this job: Make a real impact in a fast-paced, data-driven environment.
  • Qualifications: Experience in data engineering, Python, SQL, and AWS required.
  • Other info: Collaborative culture with social events and hybrid working options.

The predicted salary is between 43200 - 72000 £ per year.

Over the past 25 years, With Intelligence has evolved from a traditional financial publisher into a dynamic, product-led fintech company. Our mission is to empower investors and managers worldwide by connecting them to the people and data they need to raise and allocate assets efficiently. We’re entering an exciting new phase of growth. This funding will accelerate our transformation into a pioneering, data‑led platform, one that puts information, automation, and insight at its core. We’re now expanding our data capabilities to meet the growing demands of a fast‑paced, data‑driven organisation. This role is a great opportunity for someone who’s eager to make an impact, get hands‑on with modern tools, and help shape how we use data across our products and teams.

What You’ll Do

  • Design, develop, and maintain scalable data architectures and ETL pipelines
  • Build and manage data models and data warehouse solutions (we use 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

Requirements

  • 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

Benefits

  • 24 days annual leave rising to 29 days
  • Enhanced parental leave
  • Medicash (Health Cash Plans)
  • Wellness Days
  • Flexible Fridays (Opportunity to finish early)
  • Birthday day off
  • Employee assistance program
  • Travel loan scheme
  • Charity days
  • Breakfast provided
  • Social Events throughout the year
  • Hybrid Working

With Intelligence is based at One London Wall, London EC2Y 5EA. We offer amazing benefits, free breakfast daily and drinks provided all day, every day. We actively encourage social networks that oversee activities from sports, book reading to rock climbing, that you are free to join. As part of our company, you will enjoy the benefits of an open plan office and working with a social and energetic team. With Intelligence provides exclusive editorial, research, data and events for senior executives within the asset management industry. These include hedge funds, private credit, private equity, real estate and traditional asset management, and our editorial brands are seen as market leaders in providing asset manager sales and IR execs with the actionable information they require to help them raise and retain assets. To maintain and grow our position in the market we need to continue to hire highly motivated, thoughtful individuals to ensure our subscribers are getting the exclusive intelligence they need first, and most comprehensively, through our range of services. If you are interested so far in what you have read, please apply, we look forward to hearing from you.

We are an Equal Opportunity Employer. Our policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, colour, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable law.

Senior AWS Data Engineer employer: LGBT Great

With Intelligence is an exceptional employer that fosters a dynamic and inclusive work culture, offering generous benefits such as enhanced parental leave, wellness days, and flexible working arrangements. Located in the heart of London, employees enjoy a vibrant office environment with opportunities for social engagement and professional growth, making it an ideal place for those looking to make a meaningful impact in the fintech industry.
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Contact Detail:

LGBT Great Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AWS Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at With Intelligence on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.

✨Tip Number 2

Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your expertise in Python, SQL, and AWS.

✨Tip Number 3

Be ready for the interview! Brush up on your knowledge of ETL processes and data modelling. Practice explaining your past projects and how they relate to the role at With Intelligence.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Senior AWS Data Engineer

Data Engineering
ETL Processes
Data Modelling
Data Warehousing
Python
SQL
AWS
Airflow
dbt
Relational Database Technologies
NoSQL Database Technologies
Data Security
Privacy Compliance
Collaboration Skills
Problem-Solving Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior AWS Data Engineer role. Highlight your experience with data architectures, ETL processes, and any relevant tools like Airflow and dbt. We want to see how your skills align with our mission!

Showcase Your Projects: Include specific projects where you've designed scalable data solutions or optimised data pipelines. This gives us a clear picture of your hands-on experience and problem-solving abilities. Don’t be shy about sharing your successes!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re excited about this role and how you can contribute to our data-driven transformation. We love seeing genuine enthusiasm and a proactive mindset.

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 don’t miss out on any important updates. Plus, we can’t wait to hear from you!

How to prepare for a job interview at LGBT Great

✨Know Your Tech Stack

Make sure you’re familiar with the tools mentioned in the job description, like Airflow, dbt, and Redshift. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your coding abilities during the interview.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've optimised data pipelines or solved complex data engineering challenges in the past. This will help illustrate your proactive mindset and ability to collaborate effectively with teams.

✨Understand Data Security Principles

Since data security and compliance are crucial for this role, be ready to discuss your understanding of these principles. Share any relevant experiences where you implemented security measures in your previous projects.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s data strategy and how they envision the role contributing to their growth. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.

Senior AWS Data Engineer
LGBT Great
Location: City of London

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