
11 - 50 employees
Founded 2020
🎯 Recruiter
🏪 Marketplace
📣 Marketing
Recruitment • Marketplace • Marketing
Gypsy Collective is a roaming talent and partnerships collective that connects independent digital and performance-focused talent with brands and companies across 20+ markets. They position themselves as a performance-first partner that builds digital teams, facilitates brand partnerships, and runs events to create real-world connections and market access. Born to close the gap between businesses and the people who scale them, Gypsy emphasizes speed, partnership, and outcomes over volume, and has operated consistently for five years.
🔥 17 hours ago
🌐 Ukraine, Poland – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
👷🏻♀️ Engineer
🚫👨🎓 No degree required
👻 Ghost score 15%
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11 - 50 employees
Founded 2020
🎯 Recruiter
🏪 Marketplace
📣 Marketing
Recruitment • Marketplace • Marketing
Gypsy Collective is a roaming talent and partnerships collective that connects independent digital and performance-focused talent with brands and companies across 20+ markets. They position themselves as a performance-first partner that builds digital teams, facilitates brand partnerships, and runs events to create real-world connections and market access. Born to close the gap between businesses and the people who scale them, Gypsy emphasizes speed, partnership, and outcomes over volume, and has operated consistently for five years.
• Develop and maintain DWH and Data Lake solutions aligned with business requirements • Build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies • Integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems • Work with Trino and cloud-based analytical platforms to support reporting and analytics needs • Implement and support incremental loading, CDC processes, backfills, and reprocessing workflows • Monitor, troubleshoot, and improve data pipelines for reliability, stability, and timely data delivery • Implement data quality checks, validation rules, and automated monitoring processes • Optimize SQL queries, data models, and pipeline performance • Collaborate with analysts, BI developers, engineers, and business stakeholders on scalable data solutions • Participate in code reviews and contribute to engineering standards and best practices
• Strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (2+ years) • Strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems • Experience with Apache Airflow (2+ years) • Experience with Python for data processing, integrations, and automation (2+ years) • Good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (2+ years) • Experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling • Understanding of data quality principles, including validation, testing, reconciliation, and monitoring • Experience with Git
• Flexible payment options: choose the method that works best for you • Bonuses for holidays, B-day, work milestones and more • Courses and certifications covered • Opportunities to grow your career • Benefit cafeteria including sports, language courses, therapy sessions, and more • Team-building events and industry conferences, online and offline • New laptops and essential peripherals such as monitors and headphones • Flexible start time at 9, 10, or 11
Apply Now🕒 October 7
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