Senior Data Engineer – People Analytics

Build and operate scalable HR data pipelines, integrations, data models, and reusable data products on our AWS-native platform. Develop distributed data-processing and transformation workloads using Python, PySpark, SQL, AWS Glue, and dbt. Ensure reliable operations through automated data-quality controls, monitoring, documentation, security, troubleshooting, and recovery. Translate business and analytical requirements into well-designed technical solutions and trusted datasets. Establish effective engineering and CI/CD practices using Python, SQL, AWS Glue, GitLab, and related technologies. Embed agreed data-governance requirements into data products, including metadata, lineage, access controls, and lifecycle rules. Set engineering standards, develop reusable patterns, and mentor less experienced colleagues.

With us, you have the opportunity to work in one of our offices in Switzerland or in your home office. You will come into contact with agile working methods and the latest technologies. We offer flexible working hours to meet your personal needs. As a Swisscom employee, you can look forward to a variety of attractive benefits that will enrich your work experience. These include a pleasant working environment, financial benefits and exciting opportunities for professional development.

• Several years of experience delivering and operating production data solutions

• Strong background in cloud data engineering across ingestion, transformation, orchestration, deployment, monitoring and troubleshooting, with AWS preferred

• Strong Python and SQL skills, along with practical experience developing distributed data-processing workloads with PySpark (Experience with AWS Glue and GitLab CI/CD is preferred)

• Sound knowledge of data modelling, data quality, security, documentation and maintainable engineering practices, with experience in data governance or sensitive data a plus

• Experience with People Analytics, HR Technology, Workday, SAP, data governance, or other sensitive and regulated data is beneficial

• Autonomous, pragmatic and engaged, you take initiative and drive work to results

• Communicative, you explain technical topics clearly and focus on business outcomes

• Team-oriented, you collaborate across functions and support colleagues through mentoring

• Fluent English; other Swiss national languages are an advantage