Senior Data Engineer (6 Months Fixed Term Contract)
Core
Implement scalable data pipelines to ingest HubSpot data into the IFS Enterprise Data Lake and create data models for reporting and AI consumption.
Role type
Senior Data Engineer (Fixed Term Contract)
Builds
Automated data ingestion pipelines, enterprise-scale data models, and analytics platforms for HubSpot data.
Domain
Enterprise software, CRM integration, Data Engineering, AI/ML
Deliverable
production ML models
Required skills
HubSpot data structures, Microsoft Fabric, Azure data platforms, data modeling (Star Schema, Data Warehouse), data integration, data transformation, SQL, relational and non-relational databases, ERP/CRM/CPQ domain knowledge
Preferred skills
Azure AI Services, Azure Machine Learning, IFS Cloud/THOR, Salesforce/Dynamics, Azure Synapse, Power BI, Azure DevOps
Technologies
Microsoft Fabric, Azure Synapse, Power BI, Azure SQL, SSIS, SSAS, Purview, OneLake, ADF, Jira, Confluence, SharePoint, Teams
Responsibilities
Design and deploy automated data ingestion pipelines from HubSpot to the Data Lake; develop metadata, lineage, and documentation standards; create data models to support reporting and AI; optimize data pipelines for performance and cost; collaborate with stakeholders on requirement gathering and solution design.
Seniority
Senior, hands-on IC
