Overview

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 have recently secured a new round of funding to elevate our product into a pioneering, market-leading platform. We are rapidly expanding our focus on data across our products and services and are looking for more help to meet the growing demands of a data-driven organisation. This role offers hands-on experience across multiple areas and an amazing opportunity to learn quickly.

Role requirements include knowledge of data and technical concepts and tools, but we do not expect candidates to have professional experience in all areas.

Responsibilities

• Develop, maintain, and optimise ETL processes for data extraction, transformation, and loading
• Create and manage data models and data warehousing solutions
• Write and maintain structured queries as well as content scraping projects
• Utilise programming languages like Python and SQL for data processing tasks
• Enable integration of apps/services and connect to internal and third-party APIs
• Collaborate with cross-functional teams to ensure seamless data processing
• Optimise data pipelines for performance and efficiency
• Work closely with data scientists and analysts to support their data needs
• Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs

Qualifications

• Proven experience in data engineering with the ability to design and implement scalable data architectures
• Strong experience with ETL processes, data modelling, and data warehousing (we use Airflow, dbt and Redshift)
• Expertise in database technologies, both relational (SQL) and NoSQL
• Knowledge of cloud platforms (AWS)
• Solid understanding of data security measures and compliance standards
• Excellent Python experience
• Collaborative skills to work closely with data scientists and analysts
• Ability to optimise data pipelines for performance and efficiency
• Ability to build, test and maintain tasks and projects
• Experience with version control systems, like Git

Nice to have

• Experience with Airflow and/or dbt
• Experience working in Agile environments using SCRUM/Kanban
• Hands-on experience working within a DevOps environment

Benefits

• 24 days annual leave rising to 29 days
• Enhanced parental leave
• Medicash (Health Cash Plans)
• Wellness Days
• Flexible Fridays (Finish early option)
• 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, which you are free to join.

As part of our company, you will enjoy an open plan office and work 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. Our editorial brands are seen as market leaders in providing asset manager sales and IR executives with actionable information. To maintain and grow our position, we continue to hire highly motivated, thoughtful people to ensure our subscribers receive the exclusive intelligence they need first and most comprehensively through our services. If you are interested in what you have read, please apply, we look forward to hearing from you.

Equal Opportunity Employer: We do not discriminate against any applicant or employee based on race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, disability, religion, creed, colour, sexual orientation, gender identity or expression, veteran status, genetic information, or any other characteristic protected by applicable law.