Data Engineer

Overview:

We are seeking a talent to bring technical expertise to the development and deployment of our cutting-edge financial intelligence platform. In this role, you will leverage your technical expertise and innovative mindset to lead the design, implementation, operation and optimization of our data platform, ensuring its ability to deliver efficient and reliable data services to our global client base. As a critical member of technical team, you will collaborate with cross-functional peers and stakeholders to drive continuous improvement initiatives and ensure our data pipelines remain at the forefront of investment management technology.

Responsibilities:

• Contribute to the development and operationalisation of Stoxx's market data pipelines.
• 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.

Qualification:

• 2+ 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, Airflow.
• Domain knowledge of financial market data and financial index data models and feeds will be an added advantage.