Julius Baer12 months Contract - Senior Data Engineer (Through an External Agency Payroll Provider)
Julius Baer is hiring a 12 months Contract - Senior Data Engineer (Through an External Agency Payroll Provider) in Singapore, Singapore. Level rates it ; you can apply on Julius Baer.
Level's read on this job
- On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks, Murex and Java.
- Level classifies it as a senior role.
- Level lists 197 other open roles at Julius Baer.
- The role was posted within the past week.
AI in this role
Senior Data Engineer responsible for maintaining and building scalable data pipelines, data platforms, and backend services.
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.
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.
YOUR CHALLENGE
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
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.
- Excellent communication and collaboration skills.
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.
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How we rate this
12 months Contract - Senior Data Engineer (Through an External Agency Payroll Provider) at Julius Baer rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $147k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Modeling, Data Pipelines, ETL, and Data Governance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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