Senior AWS Data Engineer
With Intelligence is now a part of S&P Global, creating one of the most comprehensive data offerings for alternatives and private markets participants. We are now part of a larger organisation with more than 35,000 staff worldwide, so we're able to understand nuances while having a broad perspective. From helping our customers assess new investments across the capital and commodities markets to guiding them through the energy expansion, acceleration of artificial intelligence, and evolution of public and private markets, we enable the world’s leading organisations to unlock opportunities, solve challenges, and plan for tomorrow – today. We’re Advancing Essential Intelligence.
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
- 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.