Senior Data Engineer – Data Analytics Platform

Experis; Zürich; Hybrid; CHF 120,000 - 170,000; Full time

Job summary

Experis in Zurich is seeking a senior data engineering contractor to design, develop and maintain data pipelines and backend services for real-time decisioning, reporting and data collection. The role requires strong expertise in ETL/ELT, data warehousing, and cloud data technologies.

You will work with Python/Scala, SQL, Databricks, Spark, Delta Lake and event-driven architectures, ensuring data governance and security across platforms.

Qualifications

• 5+ years in ETL/ELT, data warehousing, BI, and data pipeline tools.
• 5+ years building end-to-end data systems using Python, Scala, or similar.
• Strong SQL for data analysis, issue investigation, and root-cause design.
• Experience with cloud data tech, preferably Azure, in CI/CD environments.
• Experience with Databricks, PySpark, Spark Streaming, and Delta Lake.
• Hands-on with structured, semi-structured, and unstructured data across databases and warehouses.
• Familiarity with Azure Data Lake and Blob Storage.
• Good data modeling knowledge; Data Vault a plus.
• Experience with event-driven architectures (Kafka, Event Hubs, Flink).
• Experience with containerised microservices (Kubernetes, Docker, Helm).
• Knowledge of dbt and BI tools.
• Excellent communication and ability to lead other developers.
• Swiss work permit availability or EU citizen status required.
• Location: Zurich, 12-month contract with possible extension.

Responsibilities

• Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collection, and related functions
• Define data requirements and develop data models
• Manage and transform data across the platform
• 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

Skills

ETL/ELT

Data Warehousing

BI Tools

Python/Scala

SQL

Azure

CI/CD

Databricks

PySpark

Spark Streaming

Delta Lake

Data Modeling

Kafka

Event Hubs

Flink

Kubernetes

Docker

Helm

dbt

Leadership

Education

Bachelor’s or Master’s in CS/Data Analytics/Info Systems

Tools

Databricks

PySpark

Spark

Kubernetes

Docker

Helm Charts

Azure Data Lake

Blob Storage

dbt

CI/CD pipelines

Job description

A distance: Hybride

Experis® is a global leader in IT professional resourcing, permanent recruitment, project solutions, and managed services. With over 25 years of experience in Switzerland and offices in Zürich, Basel, and Geneva, we connect top IT talent with leading companies. Our mission is to help professionals unlock their potential and thrive in dynamic, future-ready careers.

Location: Zurich
Start date:ASAP
Duration: 12months – with possibility of extension

Key Responsibilities

• Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
• Define data requirements and develop data models
• Manage and transform data across the platform
• 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

Location: Zurich
Start date:ASAP
Duration: 12months – with possibility of extension

Key Responsibilities

• Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
• Define data requirements and develop data models
• Manage and transform data across the platform
• 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

Qualifications

• 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 (experience with Data Vault is a plus) 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
• Excellent communication and collaboration skills, ability to provide technical leadership to other developers

Due to Swiss work permit restrictions, we can only consider applications from EU citizens or holders of valid working permit in Switzerland.