
Senior Data Engineer - Financial Data Platform
- London
- Permanent
- Full-time
- Acquire a comprehensive understanding of how financial data supports diverse consumer needs, from Finance to broader business customers.
- Build core datasets and financial abstractions that serve as sources of truth for strategic and operational decision-making.
- Design, prototype, and build scalable data pipelines that process billions of data points reliably.
- Apply product thinking to data: manage the full data product lifecycle from sourcing to documentation and exposition, always prioritizing consumer needs and success.
- Advocate for and implement effective data quality, engineering standards, and reusability.
- Collaborate closely with engineers, data scientists, finance collaborators, and business teams to build flexible, intuitive data products.
- Define data models and abstractions that simplify access to complex financial domains like Premium, Ads, and Royalties.
- Contribute to building tools and libraries that enable other teams to build financial data products at scale.
- Leverage mentorship and constructive feedback to foster accountability, growth, and collaboration within the team.
- Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark.
- Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments.
- Skilled in Cloud-based Environments: Proficient with large-scale data processing in cloud environments, preferably with experience in Google Cloud Platform.
- Strong Analytical Skills: Adept at breaking down complex problems and communicating insights effectively.
- Knowledgeable About Data Modeling: You treat data as a product, with strong data modeling capabilities.
- Passionate About Clean Code: Committed to writing high-quality, maintainable code and building robust data pipelines.
- Curious and Inquisitive: You have a deep curiosity about data and systems, always seeking to understand and improve them.
- Skilled in large-scale data processing: Comfortable working with SQL and platforms like BigQuery.
- Excellent Collaborator: You value positive relationships across technical and business domains.
- This role is based in London, United Kingdom
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.