Senior Data Engineer – Data Analytics Platform 80-100% (f/m/d) - (Contract through our external[...]

Bank Julius Bär & Co. Ltd.; Zürich; On-site; CHF 140,000 - 180,000; Full time

Job summary

Bank Julius Bär & Co. Ltd. is seeking a senior data engineer to design, build, and operate the data platform that underpins analytics and AI initiatives. You will own end-to-end data pipelines, from ingestion to insights, ensuring high-quality data for real-time decisioning and reporting.

You will work with Python/Scala, SQL, and cloud technologies on Azure, leveraging Databricks, Delta Lake, and Spark tooling while promoting robust data governance and security practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or related field.
• 5+ years of experience in ETL/ELT, data warehousing, BI, and integrating data tools into pipelines.
• 5+ years building data systems with Python, Scala, or similar languages.
• Strong SQL skills for data analysis and issue diagnosis, plus Azure cloud experience in CI/CD.

Responsibilities

• Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, and data collection.
• Improve data governance, security, and data quality across platforms.
• Lead data modeling efforts and implement scalable data architectures.
• Collaborate across teams, provide technical leadership, and support BI and analytics initiatives.

Skills

ETL/ELT

Data Warehousing

BI

Python/Scala

SQL

Azure Cloud

CI/CD

Databricks

PySpark

Kafka

Kubernetes

Docker

dbt

Data Modeling

Spark Streaming

Delta Lake

CI/CD tooling

Education

Bachelor’s or Master’s degree in Computer Science / Data Analytics / Information Systems

Tools

Azure Data Lake

Blob Storage

Relational Databases

Data Vault (plus)

Databricks

Spark

Kubernetes

Docker

Helm Charts

dbt

Job 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.In our team, you will be a key contributor to building our Data Platform as a foundation for Data Analytics and AI.YOUR CHALLENGEDesign, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functionsData Requirements and ModelingData Management and TransformationProduce high-quality, well-tested, and secure codeDevelop and maintain software designed to improve data governance and securityDevelop processes designed to ensure Data Security and Data QualityYOUR PROFILEBachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent training and professional experience5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, and integrating data processing/workflow management tools into pipeline design5+ years building and maintaining end-to-end data systems using Python, Scala, or similar programming languagesSolid experience in utilising SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutionsExperience in working with cloud-based data technologies, preferably on Microsoft Azure, within continuous integration and delivery (CI/CD) environmentsDemonstrated experience working with large-scale datasets using Databricks, PySpark, Spark Streaming, and Delta LakeHands-on experience with structured, semi-structured, and unstructured data across various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databasesFamiliarity with cloud storage solutions such as Azure Data Lake and Blob StorageSolid understanding of data modelling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testingExperience 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 toolsExcellent communication and collaboration skills, a bility to provide technical leadership to other developersWe are looking forward to receiving your full job application through our online application tool.