Data Engineer

Role & responsibilities

• Build, test, deploy and support capabilities and use cases on our expanding data ecosystem

• Ensure the platform's scalability, reliability, and efficiency meet business and client needs

• Focus on continuous delivery and observability

• Collaborate with cross-functional teams to implement the market data roadmap

• Drive continuous improvement initiatives to enhance pipeline performance and customer satisfaction

• Keep abreast of emerging trends and technologies in cloud data management and operation

Preferred candidate profile

Requirements • 3+ years' experience in data engineering, with a focus on cloud data solutions and implementations

• Experience with the development and deployment of large-scale, complex data pipelines

• Strong knowledge of GCP products across database, serverless, containerization and API

• Experience with serverless solution design and implementation • Experience coaching and mentoring high-performing teams

• Pragmatic experience using agile to deliver incremental value
• Experience working in a global or multinational team setting

• Strong communication and collaboration skills

• Proven ability to drive innovation and continuous improvement initiatives

• Focus on simplicity, automation and observability
• Bachelor's or Master's degree in Computer Science or related field

• Expertise in DBT, Python, SQL, Apigee, DataDog

Desirable

• Strong knowledge of GCP products, especially BigQuery, CloudRun and CloudSQL

• Experience of micro-batch and near real-time data pipelines

• Experience integrating RAG LLMs and machine learning models into data pipelines, using user decision data for ongoing model training, and of exposing chat interfaces to data assets

• Practical knowledge of using DBT to implement layered transformation flows

• Domain knowledge of financial market data and financial index data models and feeds