Senior Data Engineer – People Analytics

Job not on LinkedIn

🕒 June 17

🇨🇭 Switzerland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 49%

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Logo of Swisscom

Swisscom

10,000+ employees

Founded 1998

💼 Consulting

📦 Logistics

📣 Marketing

💰 $4G Debt Financing - Swisscom on 2024-05

Consulting • Logistics • Marketing

Swisscom is Switzerland’s leading telecommunications provider offering mobile, fixed-line and broadband internet, TV services and digital solutions for residential and business customers. It operates national networks, provides customer-facing apps and online account management, offers online security and advertising services, and supports both consumer and business segments with sales, support and connectivity products.

📋 Description

• Build and operate scalable HR data pipelines, integrations, data models, and reusable data products on the AWS-native HR One Data 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 engineering and CI/CD practices using Python, SQL, AWS Glue, GitLab, and related technologies • Embed data-governance requirements into data products, including metadata, lineage, access controls, and lifecycle rules • Set engineering standards and develop reusable patterns • Mentor less experienced colleagues • Collaborate with the Product Manager, People Analytics colleagues, and stakeholders across HR, IT, Security, and engineering

🎯 Requirements

• 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 • 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 • Experience in data governance or sensitive data is a plus • Experience with People Analytics, HR Technology, Workday, SAP, data governance, or other sensitive and regulated data is beneficial • Fluent English • Other Swiss national languages are an advantage

🏖️ Benefits

• Opportunity to work in one of Swisscom’s offices in Switzerland or in your home office • Flexible working hours • Pleasant working environment • Financial benefits • Opportunities for professional development • Agile working methods and latest technologies

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