Data Engineer – Integrations & Automation

Job Summary

KDCI Outsourcing is seeking a Data Engineer – Integrations & Automation to design, implement, and maintain data pipelines connecting multiple systems — including ERP, HubSpot CRM, and operational platforms — into a Snowflake-based data environment.

This hands-on role is ideal for someone who enjoys solving data challenges, automating workflows, and building reliable integrations that power business insights and efficiency. You’ll work closely with cross-functional teams to ensure seamless data flow, consistent documentation, and scalable data processes across the organization.

Key Responsibilities

Implement and maintain data pipelines and integrations into Snowflake, following established architecture and data standards.

Build and automate data workflows using tools such as Azure Data Factory, Power Automate, Python, or N8N.

Integrate data from ERP, HubSpot, logistics, and other business systems to support analytics and reporting.

Monitor, troubleshoot, and enhance data quality, synchronization, and performance across systems.

Collaborate with internal teams to ensure data consistency, transparency, and documentation accuracy.

Support dashboarding, analytics, and automation initiatives that improve operational efficiency.

Identify opportunities for small automation or low-code process improvements across departments.

Job Requirements

5–7 years of experience in data engineering, systems integration, or process automation .

Strong command of SQL and hands-on experience with ETL / data pipeline tools (e.g., Azure Data Factory, dbt, Fivetran, Airbyte).

Skilled in Python for data transformation and automation tasks.

Familiarity with cloud environments , preferably Microsoft Azure .

Experience integrating ERP or CRM systems such as HubSpot, NetSuite, or Dynamics.

Understanding of data modeling , version control (GitHub) , and API integrations .

Excellent communication, documentation, and collaboration skills.

Bachelor’s degree in a technical field; Master’s degree preferred (Data Engineering, Computer Science, Data Science, or related).

Nice to Have

Experience with Snowflake or modern data warehouses.

Familiarity with Power BI, Power Apps , or other automation tools.

Knowledge of CI / CD , dbt , or data-as-code best practices.

Exposure to data governance and documentation frameworks .