At a Glance
- Tasks: Design and develop scalable data architectures and ETL pipelines using modern tools.
- Company: Join With Intelligence, a dynamic fintech company transforming the investment landscape.
- Benefits: Enjoy 24-29 days annual leave, flexible Fridays, wellness days, and free breakfast.
- Why this job: Make a real impact in a fast-paced, data-driven environment with cutting-edge technology.
- Qualifications: Experience in data engineering, Python, SQL, and AWS required.
- Other info: Collaborative culture with social events and excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Overview
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 are entering an exciting new phase of growth as we transform into a data-led platform that puts information, automation, and insight at its core. We are expanding our data capabilities to meet the needs of a fast-paced, data-driven organisation. This role is a great opportunity for someone who is eager to make an impact, get hands-on with modern tools, and help shape how we use data across our products and teams.
What Youll 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
Our Company
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 and 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.
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Senior AWS Data Engineer employer: With Intelligence
Contact Detail:
With Intelligence 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
Ace the interview! Research common data engineering interview questions and practice your answers. Be ready to discuss your experience with ETL processes and data modelling in detail.
✨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 the team at With Intelligence.
We think you need these skills to ace Senior AWS Data Engineer
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 engineering, ETL processes, and any relevant tools like Airflow or dbt. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed scalable data architectures or optimised data pipelines. 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 tell us why you're excited about this role and how you can make an impact at With Intelligence. Be genuine and let your personality shine through – we love to see enthusiasm!
Apply Through Our Website: Don't forget to apply 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 you’re keen on joining our team!
How to prepare for a job interview at With Intelligence
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, SQL, and tools like Airflow and dbt. Brush up on your ETL processes and data modelling skills, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your proactive approach to problem-solving in data engineering.
✨Understand Data Security Principles
Since data security and compliance are crucial for this role, be ready to talk about your experience with data privacy standards and how you’ve implemented security measures in past projects. This shows you take data integrity seriously.
✨Be Ready to Collaborate
With Intelligence values teamwork, so prepare examples of how you’ve successfully collaborated with data scientists, analysts, and other engineers. Highlight your communication skills and how you contribute to a positive team environment.