data engineer for e-commerce data

Velocity Tech partners with a growing organisation on data engineering projects across e-commerce, marketing, and B2B data.

*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ

• Build and design BigQuery data warehouses;
• Develop ETL/ELT pipelines from Shopify, Amazon, GA4, Meta, HubSpot, and other business platforms;
• Integrate and work with APIs and raw business data;
• Set up automated data quality checks and monitoring;
• Manage scheduled data refreshes, error logging, and troubleshooting;
• Prepare data for Power BI and Looker Studio;
• Work alongside BI developers and stakeholders to deliver reliable data solutions;
• Document data models, fields, formulas, and assumptions.

• Strong SQL skills;
• Strong GCP / BigQuery experience;
• Proven experience building ETL/ELT pipelines;
• Experience working with business APIs and integrations;
• Strong understanding of data quality and troubleshooting;
• Git / version control experience;
• Good documentation and communication skills;
• Good written and spoken English;
• Showcase 2–4 previous projects, ideally data pipelines, data warehouses, or API integrations designed and delivered end-to-end;
• Explain the architecture, technical decisions, data quality approach, and challenges of previous projects;
• Nice to have: Microsoft Fabric / Azure SQL / Dataflows, Power BI Service, Looker Studio, Python.

• Contract employment;
• Part-time basis.