Senior Data Engineer 80% - 100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)
Zurich
Julius Baer
Julius Baer is the international reference in wealth management, based on a solid Swiss heritageAt 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.
In our team, you will be a key contributor to building our Data Platform as a foundation for Data Analytics and AI.YOUR CHALLENGE
Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
Data Requirements and Modelling
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
YOUR PROFILE
Required experience and skills:
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
Additional or 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 Microsoft Fabric
Experience with BI tools
1+ years software development using languages like JavaScript, Java, or C#
Education and soft skills:
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
Excellent communication and collaboration skills
Ability to provide technical leadership to other developers
English is a must, German is optional
We only consider candidates who can start immediately.
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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Business Intelligence Computer Science Data Analytics Databricks Data governance Data management Data pipelines Data quality Data Warehousing dbt Docker ELT ETL Flink Helm Java JavaScript Kafka Kubernetes Microservices Pipelines PySpark Python Scala Security Spark SQL Streaming Testing Unstructured data
Perks/benefits: Career development Startup environment
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