12 months Contract - Senior Data Engineer (Through an External Agency Payroll Provider)

Julius Baer; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

Julius Baer is seeking a senior data platform engineer to build and scale our Data Platform as a foundation for analytics and AI. You will design data pipelines, data models, and backend services supporting real-time decisioning, reporting and AI use cases.

You will leverage Databricks on Azure, Apache Spark, and modern data technologies to deliver scalable, secure data solutions. Strong SQL, Python/Scala, andCI/CD skills are essential in an Agile environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Analytics, Information Systems, or equivalent.
• 5+ years designing and implementing data engineering solutions and enterprise-scale data platforms.
• 5+ years building ETL/ELT pipelines, data warehouses, and modern data platform architectures.
• 5+ years developing data applications and services using Python, Scala, or similar languages.
• 5+ years of SQL experience, including performance optimization.
• 3+ years of experience with cloud data technologies, preferably Databricks on Azure.
• Strong hands-on experience with Databricks and Apache Spark (PySpark, Spark SQL, Delta Lake).
• Experience with structured, semi-structured, and unstructured data and data modeling principles.
• Experience implementing CI/CD pipelines and automated deployment practices.
• Strong design, implementation, and testing skills.
• Excellent communication and collaboration in Agile delivery environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines, data products, and backend services for real-time decisioning, reporting, analytics, and AI use cases.
• Design and implement data models for analytical and operational workloads, ensuring performance and scalability.
• Produce high-quality, secure, testable, and maintainable code following engineering best practices.
• Develop and maintain data governance, data quality, and monitoring solutions across the platform.
• Collaborate with cloud, security, and architecture teams to ensure compliance with enterprise standards and cloud best practices.

Skills

Python

Scala

SQL

Data modeling

CI/CD

Agile

Communication

Education

Bachelor's or Master's in CS/Data Analytics/Info Systems

Tools

Databricks on Azure

Apache Spark (PySpark)

Kafka

Terraform

Delta Lake

Job description

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let's shape the future of wealth management together.

At Julius Baer, we celebrate and value the individual qualities the candidates bring, enabling them to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth.

Our Global Products Solution (GPS) Technology department aims to strategically develop, strengthen and align the software engineering expertise and implement state of the art platforms covering Execution, Sales and Trading.

YOUR CHALLENGE

In our team, you will be a key contributor to building our Data Platform as a foundation for Data Analytics and AI. Your responsibilities will include:

• 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 data models for analytical and operational workloads, ensuring performance, scalability, and maintainability.


• Produce high-quality, secure, testable, and maintainable code following engineering best practices.


• Develop and maintain data governance, data quality, and monitoring solutions across the platform.


• Collaborate with cloud, security, and architecture teams to ensure compliance with enterprise standards and cloud best practices.

YOUR PROFILE

Professional and Technical

• Bachelor's or Master's degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent training and professional experience.


• 5+ years of experience designing and implementing data engineering solutions and enterprise-scale data platforms.


• 5+ years of experience building ETL/ELT pipelines, data warehouses, and modern data platform architectures.


• 5+ years of experience developing and maintaining data applications and services using Python, Scala, or similar languages.


• 5+ years of hands-on SQL experience, including performance optimization, data analysis, and troubleshooting.


• 3+ years of experience with cloud data technologies, preferably Databricks on Azure.


• Strong hands-on experience building and optimizing large-scale data processing solutions using Databricks and Apache Spark (PySpark, Spark SQL, Structured Streaming, Delta Lake).


• Experience working with structured, semi-structured, and unstructured data across a variety of data stores, including data warehouses, relational databases, object storage, and distributed data platforms.


• Solid understanding of data modelling principles.


• Experience implementing CI/CD pipelines and automated deployment practices.


• Strong design, implementation, and testing skills.


• Excellent communication and collaboration skills, with experience working in Agile delivery environments.

Preferred Qualifications

• Strong experience with Infrastructure as Code using Terraform, including deployment, configuration, and management of Azure and Databricks resources.


• Experience with event-driven architectures and streaming technologies, including Kafka, Azure Event Hubs, Event Grid, Apache Flink, or similar.


• Experience with DBT and modern data transformation frameworks.


• Experience with Data Vault 2.0 modeling methodologies.


• Ability to provide technical leadership and guide architectural and engineering decisions.