Senior Data Engineer - People Analytics (Flexible Hours)

Swisscom; Zürich; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Home office option

Financial benefits

Professional development

Zusammenfassung

Swisscom is seeking an experienced data engineer to build and operate scalable HR data pipelines and reusable data products on an AWS-native platform. You will collaborate with Product and People Analytics teams and stakeholders across HR, IT, Security, and engineering.

As you mature the platform, you’ll embed governance, metadata, lineage and access controls while improving CI/CD with Python, SQL, AWS Glue and dbt. Remote/home-office options and flexible hours are available.

Qualifikationen

• Several years of experience delivering and operating production data solutions.
• Strong cloud data engineering background across ingestion, transformation, orchestration, deployment, monitoring and troubleshooting, with AWS preferred.
• Strong Python and SQL skills, with PySpark experience (AWS Glue and GitLab CI/CD preferred).
• Knowledge of data modelling, data quality, security, documentation and maintainable engineering practices, with data governance or sensitive data a plus.
• Experience with People Analytics, HR tech, Workday, SAP or other sensitive data is beneficial.

Aufgaben

• Build and operate scalable HR data pipelines, integrations, data models, and reusable data products on our AWS-native platform.
• Develop distributed data-processing workloads using Python, PySpark, SQL, AWS Glue, and dbt.
• Ensure reliable operations through automated data-quality controls, monitoring, and documentation.
• Embed data-governance requirements into data products, including metadata, lineage, access controls, and lifecycle rules.
• Collaborate with Product Manager, People Analytics, HR, IT, Security, and engineering; mentor teammates.

Kenntnisse

Python

SQL

PySpark

Cloud data engineering

Data governance

Tools

AWS Glue

dbt

GitLab CI/CD

Jobbeschreibung

Swisscom is seeking an experienced data engineer to build and operate scalable HR data pipelines and reusable data products on an AWS-native platform. You will collaborate with Product and People Analytics teams and stakeholders across HR, IT, Security, and engineering.

As you mature the platform, you’ll embed governance, metadata, lineage and access controls while improving CI/CD with Python, SQL, AWS Glue and dbt. Remote/home-office options and flexible hours are available.