12 months Contract - Senior Data Engineer (Through an External Agency Payro at BANK JULIUS BAER CO LTD

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modelling, ETL, Data Warehousing, Python, SQL, Cloud Technologies, Data Governance, Data Pipelines, Data Security, Agile Methodologies, Spark Streaming, Azure, Microservices, Event-Driven Systems, Collaboration

Industry

Banking

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. Responsible for the implementation of methods and solutions to strengthen data reliability and quality. Collaborate with Data Scientists and Data Analysts to develop data models and pipelines for research, reporting, and machine learning. YOUR CHALLENGE GENERAL DESCRIPTION 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. As a highly motivated and experienced data engineer, you are to take ownership and maintain our data platform, ensuring their stability, performance, and continuous improvement. The successful candidate will have a strong background in data engineering, understand data requirements, and experienced in data modelling. This is a fantastic opportunity to work with a talented team and contribute to the growth and success of our organization. Note: This will be a 12 months contract role with an external agency payroll provider. KEY FEATURES AND ACCOUNTABILITIES Agile Program Planning and Execution Actively participate in Program Increment (PI) planning processes within GPS Environment and configuration management of Murex applications/FICC modules and Java applications Change Management Design, develop, and maintain scalable data pipelines and robust backend services to support real-time decisioning, reporting, data ingestion, and related functions. Collaborate on data requirements gathering and contribute to conceptual and logical data modelling to align solutions with business needs. Implement efficient data management strategies, including transformation, integration, and orchestration across diverse sources and systems. Deliver high-quality, secure, test-covered code that adheres to software development best practices and regulatory standards. Develop and enhance software solutions to strengthen data governance frameworks, ensuring compliance, traceability, and accountability. Build and maintain automated processes to enforce data security protocols and uphold stringent data quality standards across the enterprise. Regulatory Responsibilities &/OR Risk Management Demonstration of appropriate values and behaviours including but not limited to standards on honesty and integrity, due care and diligence, fair dealing (treating customers fairly), management of conflicts of interest, competence and continuous development, adequate risk management, and compliance with applicable laws and regulations YOUR PROFILE SKILLS REQUIREMENTS Professional and Technical BS/MS in Computer Science, Data Analytics, Data Management, Information Systems or related technical field or equivalent training & experience. 5+ years Incorporating data processing and workflow management tools into pipeline design. 5+ years' experience in ETL/ELT, Data warehousing, and/ or Business Intelligence Development. 5+ years building and maintaining end-to-end data systems and supporting services in Python, Scala or similar. 5+ years using SQL to understand data and to investigate data issues or problems and provide solutions. 3+ years working with cloud data technologies. Experience with structured, semi-structured, and unstructured data. Experience utilizing a variety of data stores, including data warehouses, RDBMSes, in-memory caches, and searchable document Databases. Experience working with large data sets in SQL/Databricks/PySpark. Experience with Spark Streaming, and Delta (Live) Tables. Experience with storage systems such as Azure Storage/ Data Lakes. Experience with data modelling. Strong design, implementation, and testing skills. Experience developing for continuous integration and automated deployments. Experience developing on cloud platforms (preferably Azure) in a continuous delivery environment. Preferred Qualifications Experience with microservices platforms (Kubernetes, Docker, Helm Charts). Experience with Event-Driven streaming systems (Kafka, Event Hub, Event Grid, Apache Flink). Knowledge and use of DBT. Experience with data vault is a plus. Experience with BI tools. 1+ years software development using languages like JavaScript, Java, or C#. Ability to provide technical leadership to other developers. Personal and Social Excellent command of verbal and written communication skills Able to work autonomously in a global team setup to take on initiative with a positive attitude Solution orientated and able to work in an agile setup Strong interpersonal and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines Highly motivated blended with a team player spirit We are looking forward to receiving your full job application through our online application tool. Further interesting job opportunities can be found on our Career site. Is this not quite what you are looking for? Set up a job alert by creating a candidate account here. The international reference in wealth management Julius Baer is the leading Swiss wealth management group. We focus on servicing and advising sophisticated private clients from around the world, taking into account what truly matters to them – in their business and personal life, today and for future generations. Headquartered in Zurich, we are present in around 60 locations worldwide, including Bangkok, Dubai, Dublin, Frankfurt, Geneva, Hong Kong, London, Luxembourg, Madrid, Mexico City, Milan, Monaco, Mumbai, Santiago de Chile, Shanghai, Singapore, Tel Aviv, and Tokyo. Why join Julius Baer? At Julius Baer our employees enjoy the benefits of a global company with the support and collegiality of a much smaller one. We are growing quickly, but we remain dedicated to maintaining our accessible structure with flat hierarchies, and approachable and supportive leaders. With offices around the world, we offer an international and stimulating work environment and the opportunity to work with a diverse team of highly motivated colleagues, bringing the best of the bank to our clients. Our core values of Care, Passion, and Excellence define the tone of how we interact with each other and our partners. Committed to your success Whether nurturing young talent with our renowned apprentice scheme, enabling ambitious university graduates to put theory into practice with our Graduate Programme, or providing first-class opportunities for experienced professionals, we look after our employees. We believe in continuous learning as a company and as individuals, which is why we put a focus on the health and well-being of our employees and offer flexible working options, a wide array of benefits, and extensive career development programmes. For more information visit www.juliusbaer.com or contact us via the Contact Form. For recruiting agents, please see the additional information here.

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Responsibilities

The Senior Data Engineer will be responsible for implementing methods and solutions to enhance data reliability and quality, while collaborating with Data Scientists and Analysts to develop data models and pipelines. The role includes maintaining the data platform, ensuring stability and performance, and delivering high-quality code that adheres to best practices.