Senior Data Engineer - Cloud & Analytics 80-100% - (Contract through our external payroll partner with immediate start for 12 months with possible extension)
Bank Julius Bär & Co. Ag
Zürich, Switzerland
3 days ago
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Zürich, Switzerland
Tech stack
Java
JavaScript
Data analysis
Azure
Big Data
C Sharp (Programming Language)
Cloud Computing
Cloud Database
Cloud Storage
Information Systems
Databases
Continuous Integration
Data Governance
Data Integration
ETL
Data Security
Data Systems
Data Vault Modeling
Data Warehousing
Relational Databases
Python
Azure
Secure Coding
Software Engineering
SQL Databases
Unstructured Data
Workflow Management Systems
Azure
Data Build Tool (dbt)
Kubernetes Helm Charts
Caching
Event Driven Architecture
Data Lake
PySpark
Kubernetes
Information Technology
Apache Flink
Data Analytics
Kafka
Spark Streaming
Data Management
Docker
Databricks
Programming Languages
Microservices
Job description
- Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
- Data Requirements and Modeling
- Data Management and Transformation
- Produce high-quality, well-tested, and secure code
- Develop and maintain software designed to improve data governance and security
- Develop processes designed to ensure Data Security and Data Quality
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
- 5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, and integrating data processing/workflow management tools into pipeline design
- 5+ years building and maintaining end-to-end data systems using Python, Scala, or similar programming languages
- Solid experience in utilising SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutions
- Experience in working with cloud-based data technologies, preferably on Microsoft Azure, within continuous integration and delivery (CI/CD) environments
- Demonstrated experience working with large-scale datasets using Databricks, PySpark, Spark Streaming, and Delta Lake
- Hands-on experience with structured, semi-structured, and unstructured data across various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databases
- Familiarity with cloud storage solutions such as Azure Data Lake and Blob Storage
- Solid understanding of data modelling principles and strong skills in system design, implementation, and testing
- Experience with event-driven architectures (e.g., Kafka, Event Hubs, Apache Flink) and containerised microservices platforms (e.g., Kubernetes, Docker, Helm Charts)
- Knowledge and practical use of dbt (data build tool), experience with BI tools, and at least 1 year of software development using languages such as JavaScript, Java, or C#
- Background in Data Vault modelling; ability to provide technical leadership, mentorship, and collaborate effectively within cross-functional teams.
About the company
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.