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 BigQuery 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.
Tasks
- Maintain and support the BigQuery 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 BigQuery tables.
- Document data sources, data flows, and table structures.
💻 Tech Environment
- Google Cloud Platform (GCP).
- BigQuery (core data warehouse).
- Cloud Storage (data staging).
- Scheduled queries and data transfers.
- Python.
- REST APIs.
- Automation / scheduled jobs.
- Tableau.
- SQL (primary query language).
Requirements
- 3+ years of hands-on experience working with BigQuery (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 BigQuery.
- 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.
Benefits
- 🌍 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, BigQuery, 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.