Data Engineer, Platform

Coopers Group AG

. Develop, operate, and optimize data pipelines for modern data and analytics platforms .

Posted 11/10/2026contractRemote • SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing data pipelines, implementing ETL/ELT processes, and ensuring data quality and governance. Proficient in collaborating with interdisciplinary teams to deliver scalable and high-quality data products.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT ProcessesApache AirflowPython ProgrammingSQL

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData ArchitectureData ModelingScalable Data ProcessingDevOps Principles

Soft Skills

Analytical ThinkingSolution-Oriented MindsetCommunication SkillsCollaboration

Tools & Technologies

Apache SparkDbtKubernetesStarburstTrino

Industry Keywords

Data GovernanceCloud-Native ArchitecturesRegulated EnvironmentsData-Intensive Organizations

Tech Stack

Tools & technologies

AirflowApacheCloudETLKubernetesPythonSparkSQL

About the role

Key responsibilities & impact

Develop, operate, and optimize data pipelines for modern data and analytics platforms
Implement and enhance ETL/ELT processes using SQL, Python, dbt, and Apache Spark
Build, automate, and monitor data workflows with Apache Airflow
Support the development and operation of platform components, focusing on scalability, stability, and reusability
Work closely with data scientists, business stakeholders, and architecture teams to deliver high-quality data products
Ensure data quality, performance, and governance across the platform
Contribute to the ongoing development of the platform architecture and the integration of new technologies and services
Support automation and DevOps initiatives within the data platform environment

Requirements

What you’ll need

Several years of experience as a Data Engineer, with a strong affinity for Platform Engineering
In-depth knowledge of Python, SQL, Apache Spark, dbt, and Apache Airflow
Experience designing, building, and operating modern data platforms and data architectures
Understanding of data modeling, data engineering best practices, and scalable data processing solutions
Experience with DevOps principles and automated deployments is an advantage
Knowledge of Kubernetes, Starburst, or Trino is a plus
Structured, analytical, and independent working style, combined with a strong solution-oriented mindset
Excellent communication skills and enthusiasm for collaborating in interdisciplinary teams
Fluent in German and English
Experience building and operating enterprise data platforms is an advantage
Knowledge of data science and analytics platforms is an advantage
Experience working in regulated environments or data-intensive organizations is an advantage
Understanding of cloud-native architectures and modern platform concepts is an advantage

Benefits

Comp & perks

Fixed-term employment contract
Available as soon as possible