Who We Are Looking For?

• A strong technical background with experience in data engineering, preferably in HR or People Analytics. ‍
• Proven experience in building and managing data pipelines and models using tools like DBT, Fivetran, and Snowflake.
• Solid understanding of data governance, privacy, and the sensitivity around handling data, preferably HR-related data from systems such as Workday, Greenhouse, and Culture Amp.
• Strong collaboration skills to work effectively with colleagues across different geographies and functions.
• A proactive mindset with the ability to work independently and drive initiatives forward.
• Experience in version control using Git and automating infrastructure with Terraform.

Tech stack

While the below list is extensive, it’s not a prerequisite to know all technologies listed. We value the ability to learn quickly and adapt to new environments:

• Snowflake for data warehousing ❄
• DBT for data modeling
• Fivetran for data integration
• SQL for querying and managing data
• PowerBI for supporting new core semantic models
• Terraform for infrastructure automation
• Git for version control
• Data validation frameworks for ensuring data integrity ✅

Responsibilities

• Designing and implementing robust data pipelines to ingest, clean, and process large volumes of HR data from various sources.
• Developing and maintaining data models using tools like DBT to ensure our data is well-structured and accessible for analysis.
• Connecting and integrating data sources using Fivetran, ensuring seamless data flow into our Snowflake data warehouse.
• Building and maintaining data validation and testing frameworks to ensure data quality and reliability.
• Implementing data governance policies and managing access rights to ensure that sensitive HR data is handled securely and compliantly.
• Collaborating closely with local and international colleagues to align data engineering efforts with broader People Analytics initiatives and HR strategies.
• Automating infrastructure management using Terraform, ensuring scalability and reliability of our data systems. ⚙
• Using Git for version control, ensuring that all changes to data pipelines, models, and infrastructure are tracked and managed effectively.
• Support HR Business Users with their Dashboard creation in PowerBI.