Senior Data Engineer

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 from a prominent technology investor. This investment will drive our committed plan to elevate our product into a pioneering, market-leading platform. We are rapidly expanding our focus on data, both internally and within our products and services. We are now looking for more help in this area to keep up with the growing demands of a dynamic, data driven organisation. We need someone that wants to get stuck in and do stuff! The role requires knowledge and understanding of some data and technical concepts and tools, but we do not expect candidates to have a lot of professional experience in all these areas. This role will enable you to get hands on experience in multiple areas, making it an amazing opportunity to learn very quickly.

• 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, SQL for data processing tasks
• Enablement of integration of apps / services and connecting to internal and third-party APIs
• Collaborate with cross-functional teams to ensure seamless integration of data processes
• 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

• Proven experience in data engineering and proficient in designing and implementing 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 optimize data pipelines for performance and efficiency
• Ability to build, test and maintain tasks and projects
• Experience with version control systems, like Git

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

• 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 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.