HubSpot Data Engineer — Integrations & Migrations

BONANA; Utrecht; Hybrid; EUR 45,000 - 61,000; Full time

Benefits offered by this job

Growth opportunities

Strong salary (€4,000–€5,500 gross/mo)

Pension plan

Mobility allowance

Hardware provided

Informal culture

Job summary

BONANA is seeking a pragmatic Data Engineer to own integrations and migrations, ensuring HubSpot receives clean, reliable data. You will build cross-system connections, migrate data from legacy sources, and model CRM data for Sales, Marketing, and Operations.

You’ll write Python and SQL, debug API calls, and collaborate with Solution Engineers to translate client needs into solid technical execution. A strong focus on practical, well-defined data problems is essential.

Qualifications

• 3-6 years of experience as a Data Engineer, Integration Developer, or similar role.
• Experience with HubSpot or another CRM and proper CRM data modeling.
• Demonstrable experience connecting systems via APIs and migrating data between platforms.

Responsibilities

• Build and maintain connections between HubSpot and other systems (ERPs, financial tools) using n8n and custom REST/GraphQL solutions.
• Migrate data from legacy systems to HubSpot with clean data structures and mappings.
• Design and ensure CRM data quality and appropriate object structures and relationships in HubSpot.
• Write Python and SQL as needed; troubleshoot API calls and data inconsistencies.
• Collaborate closely with Solution Engineers and consultants on client projects.

Skills

Data integration

HubSpot CRM

APIs (REST/GraphQL)

SQL

Python

Communication

Pragmatic

Tools

n8n

Zapier

Make

REST API

GraphQL API

Job description

BONANA is seeking a pragmatic Data Engineer to own integrations and migrations, ensuring HubSpot receives clean, reliable data. You will build cross-system connections, migrate data from legacy sources, and model CRM data for Sales, Marketing, and Operations.

You’ll write Python and SQL, debug API calls, and collaborate with Solution Engineers to translate client needs into solid technical execution. A strong focus on practical, well-defined data problems is essential.