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Senior Data Engineer

LGBT Great
London
1 day ago
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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 expanding our focus on data, both internally and within our products and services, and are looking for someone to help us in this area.

This role provides hands-on experience across multiple areas in a fast-growing, data-driven organization. It is suitable for candidates who may not have deep professional experience in every area but are eager to learn and contribute.


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 and 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 process integration
  • Optimise data pipelines for performance and efficiency
  • Work closely with data scientists and analysts to support their needs
  • Build pipelines to transform raw, unstructured data into useful information using AI and LLMs

Qualifications

  • Proven experience in data engineering and designing/implementing scalable data architectures
  • Strong experience with ETL processes, data modelling, and data warehousing (we use Airflow, dbt and Redshift)
  • Expertise in relational (SQL) and NoSQL databases
  • Knowledge of cloud platforms (AWS)
  • Solid understanding of data security measures and compliance standards
  • Excellent Python experience
  • Collaborative skills to work 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 an Agile environment using SCRUM/Kanban
  • Hands-on experience in 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)
  • Birthday day off
  • Employee assistance program
  • Travel loan scheme
  • Charity days
  • Breakfast provided
  • Social events throughout the year
  • Hybrid working

About the 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 and book clubs 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 execs with the actionable information they require to raise and retain assets. To maintain and grow our position in the market we continue to hire highly motivated and thoughtful individuals who ensure subscribers receive exclusive intelligence 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.


We are an Equal Opportunity Employer. Our policy is not to discriminate against any applicant or employee based on 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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