Data Engineer

Role Overview :

We are seeking a proactive Data Engineer to build, scale, and optimize reliable data pipelines

across our Google Cloud Platform (GCP) analytics ecosystem.

In this role, you will work hands-on with tools like BigQuery, dbt, and lightweight orchestration to ingest, transform, and model data from key enterprise systems—including Salesforce, SAP, billing platforms, and MarTech/AdTech sources.

Core Responsibilities

• Pipeline Engineering: Develop, test, and maintain batch and event-driven data

pipelines using Python, BigQuery, dbt, and Cloud Workflows.

• Data Modeling & Quality: Build modular transformation models in BigQuery using

dbt, writing automated tests and documentation to ensure data quality and schema

consistency.

• Infrastructure & CI/CD: Implement and update GCP infrastructure using Terraform,

maintaining CI/CD deployment pipelines across development and production

environments.

• Performance & Migration Support: Assist in migrating legacy data workflows to

GCP, profiling and tuning BigQuery SQL queries to improve performance and control

costs.

• Cross-Functional Collaboration & Standards: Partner directly with Product

Managers and commercial MarTech/AdTech teams to translate audience, campaign,

and attribution requirements into robust data models. Collaborate closely with

software engineering peers to align on API data contracts, participate in peer code

reviews, and champion code-first development practices.

Seniority level: Mid-Senior level

Employment type: Contract

Industries: IT Services and IT Consulting