Senior Data Engineer – People Analytics

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Cloud • Information Technology • Mobile • Cybersecurity
The Role
Build and operate scalable HR data pipelines, integrations, models, and reusable data products on an AWS-native platform. Develop distributed processing workloads, implement data-quality monitoring and recovery, establish CI/CD and engineering standards, and embed governance such as metadata, lineage, access controls, and lifecycle rules. Translate analytical requirements into trusted datasets, collaborate across HR, IT, Security, and engineering, and mentor less experienced colleagues.
Summary Generated by Built In
Your future starts here

You 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, 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 

 

Your skills 
  • 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 

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. Discover your Benefits.

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To all recruitment agencies: Swisscom does not accept agency CVs. Please do not forward CVs to our job's alias, Swisscom employees or any other organisation location. Swisscom is not responsible for any fees related to unsolicited CVs.

Contact personStefanie DurrerTalent Acquisition Manager+41 (58) 2215205Your homebaseSwisscom (Schweiz) AGAlte Tiefenaustrasse 2, 3048 Worblaufen

Skills Required

  • Several years of experience delivering and operating production data solutions
  • Strong background in cloud data engineering across ingestion, transformation, orchestration, deployment, monitoring, and troubleshooting
  • Strong Python and SQL skills
  • Practical experience developing distributed data-processing workloads with PySpark
  • Knowledge of data modeling, data quality, security, documentation, and maintainable engineering practices
  • Experience with AWS cloud data engineering
  • Experience with AWS Glue and GitLab CI/CD
  • Experience with data governance or sensitive data
  • Experience with People Analytics, HR Technology, Workday, SAP, data governance, or other sensitive and regulated data
  • Ability to work autonomously, pragmatically, and proactively
  • Strong communication and ability to explain technical topics clearly
  • Ability to collaborate across functions and mentor colleagues
  • Fluent English
  • Knowledge of other Swiss national languages
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The Company
HQ: Bern-Worblaufen
23,000 Employees

What We Do

Swisscom AG is a leading telecommunications and ICT company in Switzerland, providing mobile, internet, TV, and comprehensive IT and digital services to private and business customers. It is also a significant telecommunications provider in Italy through its subsidiary Fastweb.

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