Senior Data Engineer - People Analytics 100%

Swisscom (Schweiz) AG; Ittigen; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Competitive benefits

Professional development

Zusammenfassung

Swisscom (Schweiz) AG is seeking an experienced Data Engineer to build and operate scalable HR data pipelines on our AWS-native Data Platform. You will implement ingestion, transformation, and governance across datasets, leveraging Python, PySpark, SQL, AWS Glue, and dbt.

You will ensure reliable operations with automated data quality controls, monitoring, and security, while shaping engineering standards and mentoring colleagues. A hybrid work setup with flexibility to work from home is offered.

Qualifikationen

• 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.

Aufgaben

• 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

Kenntnisse

Python

SQL

PySpark

AWS Glue

GitLab CI/CD

Data governance

Data modelling

Data quality

Monitoring

Troubleshooting

Data pipelines

Cloud data engineering

Tools

AWS Glue

GitLab CI/CD

Jobbeschreibung

Deine Zukunft beginnt hierYou build and operate trusted HR data products on our AWS-native HR One Data Platform. Your initial priority will be to strengthen the data foundation, deliver priority pipelines, and establish reliable and sustainable operations. You will take ownership of data-engineering delivery and help shape the team’s technical standards. You will work closely with the Product Manager, People Analytics colleagues, and stakeholders across HR, IT, Security, and engineering. As the platform matures, you will increasingly embed technical data-governance capabilities into its pipelines and data products.

• 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, anddbt
• 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

Your skills

• Several years of experience delivering and operating production data solutions
• Strong background in cloud data engineering across ingestion, transformation, orchestration, deployment,monitoringand troubleshooting, with AWS preferred
• Strong Python and SQL skills, along with practical experience developing distributed data-processing workloads withPySpark(Experience with AWS Glue and GitLab CI/CD is preferred)
• Sound knowledge of data modelling, data quality, security,documentationand 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,pragmaticand 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

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.

Benefits

• 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.

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