Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)
Julius Baer3 months ago
Zürich, SwitzerlandSenior
Responsibilities
- Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collection, and related functions.
- Define data requirements and models and implement data management and transformation processes.
- Build and maintain software that improves data governance, security, and quality.
- Produce high-quality, well-tested, and secure code.
- Work with large-scale structured, semi-structured, and unstructured datasets across relational databases, data warehouses, caches, and document databases.
- Design and implement event-driven architectures and containerized microservices platforms.
- Provide technical leadership to other developers and collaborate effectively with stakeholders.
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 five years of experience with ETL/ELT, data warehousing, Business Intelligence, and integrating data processing or workflow management tools into pipeline designs.
- At least five years of experience building and maintaining end-to-end data systems using Python, Scala, or similar programming languages.
- Strong SQL skills for data analysis, investigating data issues, diagnosing root causes, and designing solutions.
- Experience with cloud-based data technologies, preferably Microsoft Azure, and continuous integration and delivery environments.
- Demonstrated experience with Databricks, PySpark, Spark Streaming, and Delta Lake on large-scale datasets.
- Hands-on experience with structured, semi-structured, and unstructured data across varied storage systems.
- Familiarity with Azure Data Lake and Blob Storage.
- Strong understanding of data modeling, system design, implementation, and testing; Data Vault experience is a plus.
- Experience with Kafka, Event Hubs, or Apache Flink and with Kubernetes, Docker, or Helm Charts.
- Knowledge and practical experience with dbt and BI tools.
- Excellent communication and collaboration skills, with the ability to provide technical leadership to other developers.
Benefits
- Contract through an external payroll partner for 12 months, with possible extension.
- 80–100% workload with immediate start.
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.