Data Warehousing Specialist - Part-Time | Remote

Adhoq is a fast-growing global digital performance marketing company with deep expertise in digital marketing and adtech
. We operate across multiple paid media channels and work with high-quality advertisers in competitive international markets
.

We are looking for a Data Warehousing Specialist to support the development and maintenance of our data warehouse environment built on Google Cloud Platform (GCP).

You will work with Big Query datasets
, help structure raw data into analytics-ready tables
, and support reporting in Tableau
. The role also includes integrating data from external systems through APIs and building automated data pipelines
.

This is a hands-on technical role with strong growth potential toward Data Engineer or Analytics Engineer.

• Maintain and support the Big Query data warehouse environment.
• Write and optimize SQL queries for data transformation and analytics-ready datasets.
• Monitor data pipelines to ensure reliable data availability.
• Perform data validation and sampling to ensure accuracy and consistency.
• Troubleshoot data discrepancies between source systems, pipelines, and reporting outputs.
• Maintain and monitor API-based data integrations.
• Integrate new external data sources (APIs, exports, databases) into the warehouse.
• Transform raw data (JSON / API responses) into structured datasets.
• Load and maintain processed datasets in Big Query tables.
• Document data sources, data flows, and table structures.

💻 Tech Environment

• Google Cloud Platform (GCP).
• Big Query (core data warehouse).
• Cloud Storage (data staging).
• Scheduled queries and data transfers.
• Python.
• REST APIs.
• Automation / scheduled jobs.
• Tableau.
• SQL (primary query language).

• 3+ years of hands-on experience working with Big Query (GCP), Python, REST APIs, and scheduled data pipelines.
• Strong understanding of relational databases and data structures.
• Solid understanding of APIs and JSON data structures.
• Comfortable working with structured datasets.
• Strong attention to detail.
• Analytical mindset.
• Good communication skills (able to explain data clearly).

⭐ Nice to Have

• Experience with Big Query.
• Familiarity with Tableau or other BI tools.
• Basic understanding of data modeling (fact & dimension tables).
• Experience working with REST APIs or automated data ingestion.
  
  Experience with scheduled jobs or automation in cloud environments.

• 🌍 Fully remote work - work from anywhere.
• ⏳ Flexible part-time structure (clear alignment on hours & availability).
• 📈 Strong growth path toward Data Engineer / Analytics Engineer.
• 🧠 Direct exposure to large-scale performance marketing data.
• 🎯 High ownership in a performance-driven analytics team.
• 🤝 Close collaboration with VP Performance & Analytics.
• 🚀 Opportunity to shape and improve core data warehouse architecture.
• 📊 Work with modern stack:
  GCP, Big Query, APIs, automation.
• 💬 Open, direct communication culture.
• 💰 Competitive compensation aligned with experience.

Interested? Please apply by submitting your CV in English
.

We look forward to connecting with you.