обновлено 6 дней назад
Senior Data Engineer – People Analytics
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer – People Analytics (Python/PySpark/AWS): Building and operating trusted HR data pipelines, integrations, data models, and reusable data products on an AWS-native HR data platform with an accent on scalable processing, data quality, security, and governance. Focus on establishing reliable CI/CD and operational practices, embedding metadata and lineage into data products, and setting engineering standards for sensitive HR data.
Location: Bern, Switzerland, with the option to work from a office in Switzerland or from a home office.
Company
operates an AWS-native HR One Data Platform for trusted HR data products and People Analytics.
What you will do
- Build and operate scalable HR data pipelines, integrations, data models, and reusable data products.
- Develop distributed data-processing and transformation workloads using Python, PySpark, SQL, AWS Glue, and dbt.
- Implement automated data-quality controls, monitoring, documentation, security, troubleshooting, and recovery practices.
- Translate business and analytical requirements into technical solutions and trusted datasets.
- Embed metadata, lineage, access controls, and lifecycle rules into data products.
- Establish engineering standards and reusable patterns while mentoring less experienced colleagues.
Requirements
- Several years of experience delivering and operating production data solutions.
- Strong cloud data-engineering experience across ingestion, transformation, orchestration, deployment, monitoring, and troubleshooting, preferably with AWS.
- Strong Python and SQL skills and practical experience with distributed data processing using PySpark.
- Knowledge of data modelling, data quality, security, documentation, and maintainable engineering practices.
- Experience with data governance or sensitive and regulated data is beneficial; People Analytics, HR Technology, Workday, or SAP experience is also beneficial.
- Fluent English is required; other Swiss national languages are an advantage.
Culture & Benefits
- Flexible working hours and the option to work from a office or home office.
- Agile working methods and access to current technologies.
- Pleasant working environment with financial benefits.
- Opportunities for professional development.
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