Data Analytics Engineer (Maternity Cover)
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
Datarails is the AI operating system for finance teams. We unite financial and operational data through FinanceOS, the trusted data layer for finance, and build the applications, workflows and AI experiences finance teams use to run the business.
דרישות
- 3+ years as an analytics engineer or data analyst, preferably in B2B SaaS.
- Experience defining metrics and KPIs with business stakeholders, and specifying and building the dashboards that track them.
- Experience working across business domains (such as marketing, sales, product or finance), and quickly learning a new team’s data and questions.
- Proficiency in SQL and Python for data processing, analysis and automation.
- Data modeling and warehousing experience in a cloud data warehouse, ideally BigQuery on GCP .
- Hands-on experience building and maintaining ETL/ELT pipelines from multiple sources, orchestrated with Apache Airflow .
- Ownership of data observability: pipeline health, freshness and quality.
- Git and version-controlled development (branches, pull requests, code review), with familiarity with CI/CD, Docker and Terraform .
- Works independently: can take a loosely defined question, scope it, and deliver without close technical supervision.
- Marketing analytics background: attribution, funnel and campaign performance. (advantage)
- Data modeling and pipeline experience with tools such as Fivetran, Funnel.io or dbt. (advantage)
- Familiarity with HubSpot and Salesforce data structures. (advantage)