12 months Contract - Senior Data Engineer (Through an External Agency Payroll Provider)
Julius Baer6 days ago
Singapore, SingaporeSenior
Responsibilities
- Design, develop, and maintain scalable data pipelines, data products, and backend services supporting real-time decisioning, reporting, analytics, and AI use cases.
- Design and implement performant, scalable, and maintainable data models for analytical and operational workloads.
- Produce secure, testable, maintainable code following engineering best practices.
- Develop and maintain data governance, data quality, and monitoring solutions across the data platform.
- Build and optimize large-scale data processing solutions using Databricks and Apache Spark.
- Collaborate with cloud, security, and architecture teams to meet enterprise standards and cloud best practices.
- Provide technical leadership and guide architectural and engineering decisions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field, or equivalent training and professional experience.
- At least 5 years of experience designing and implementing data engineering solutions and enterprise-scale data platforms.
- At least 5 years of experience building ETL/ELT pipelines, data warehouses, and modern data platform architectures.
- At least 5 years of experience developing and maintaining data applications and services using Python, Scala, or similar languages.
- At least 5 years of hands-on SQL experience, including performance optimization, data analysis, and troubleshooting.
- At least 3 years of experience with cloud data technologies, preferably Databricks on Azure.
- Strong experience with Databricks, Apache Spark, PySpark, Spark SQL, Structured Streaming, and Delta Lake.
- Experience working with structured, semi-structured, and unstructured data across data warehouses, relational databases, object storage, and distributed data platforms.
- Solid understanding of data modeling principles and strong design, implementation, and testing skills.
- Experience implementing CI/CD pipelines and automated deployment practices.
- Experience working in Agile delivery environments with strong communication and collaboration skills.
- Preferred: strong Terraform experience for Infrastructure as Code and deployment, configuration, and management of Azure and Databricks resources.
- Preferred: experience with Kafka, Azure Event Hubs, Event Grid, Apache Flink, or similar streaming and event-driven technologies.
- Preferred: experience with DBT, modern data transformation frameworks, and Data Vault 2.0 modeling methodologies.
- Preferred: ability to provide technical leadership and guide architectural and engineering decisions.
Benefits
- 12-month contract through an external agency payroll provider.
- The position is with Julius Baer’s Global Products Solution Technology department and supports data analytics and AI initiatives.
Tech Stack
Categories
Data Engineering
About Julius Baer
Julius Baer is a Swiss private banking group providing wealth management, investment advisory, and custody services to high- and ultra-high-net-worth clients and family offices. It earns fees and commissions on assets under management, plus trading, custody, and lending income. Founded in 1890 and headquartered in Zurich, it operates in about 25 countries across roughly 60 locations, with notable hubs in Geneva, London, Hong Kong, Singapore, and Dubai.