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For Companies At a Glance
- Tasks: Design and develop scalable data architectures and ETL pipelines using cutting-edge tools.
- Company: Join With Intelligence, a leader in asset management data and insights.
- Benefits: Enjoy 24-29 days annual leave, flexible Fridays, and wellness days.
- Other info: Join a vibrant culture with social events and hybrid working options.
- Why this job: Make an impact with innovative data solutions in a dynamic team environment.
- Qualifications: Experience in data engineering, Python, SQL, and AWS is essential.
The predicted salary is between 43200 - 72000 £ per year.
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
Qualifications
- 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
- 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.
Senior AWS Data Engineer employer: With Intelligence Ltd
Contact Detail:
With Intelligence Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AWS Data Engineer
✨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’s already in the data engineering game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of your projects, especially those involving AWS, ETL processes, or any cool data models you've built. Having tangible examples of your work can really set you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with data pipelines and how you’ve optimised them in the past. And don’t forget to ask questions about the team and projects – it shows you’re genuinely interested!
✨Apply Through Our Website
We love seeing applications come through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the details about the role and our company culture right there, so you can tailor your approach perfectly.
We think you need these skills to ace Senior AWS Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior AWS Data Engineer role. Highlight your experience with ETL processes, data modelling, and any relevant tools like Airflow and dbt.
Showcase Your Projects: Include specific examples of projects where you've designed scalable data architectures or optimised data pipelines. This gives us a clear picture of your hands-on experience and problem-solving skills.
Keep It Clean and Concise: When writing your application, be clear and to the point. Use bullet points for easy reading and avoid jargon unless it’s relevant to the role. We appreciate straightforward communication!
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 from our team.
How to prepare for a job interview at With Intelligence Ltd
✨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 Experience
Prepare specific examples from your past work that highlight your experience with ETL processes, data modelling, and building scalable data solutions. Be ready to discuss how you've optimised data pipelines for performance and reliability.
✨Collaboration is Key
Since the role involves working closely with data scientists and analysts, think of instances where you’ve successfully collaborated with others. Highlight your communication skills and how you approach problem-solving in a team setting.
✨Understand Data Security
Familiarise yourself with data security and compliance principles, as these are crucial for the role. Be prepared to discuss how you’ve implemented security measures in previous projects and why they matter in data engineering.