Data Engineer/Developer

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September 11

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toogeza

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Recruitment • HR Tech • B2B

Toogeza is a recruitment and consultancy firm based in Ukraine, specializing in finding talent and providing recruitment solutions for tech companies. They offer a range of services including recruiting, sourcing, selection, onboarding assistance, auditing and setting up HR processes, and recruitment process outsourcing. Toogeza acts as a partner, deeply integrating into the hiring process by offering market insights and helping create team structures. They provide versatile hiring services for various tech domains, markets, and roles. Their core values include talent, top quality, trust, and tenacity. They serve clients worldwide, helping them find suitable candidates for both technical and leadership roles across different industries and markets.

11 - 50 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

📋 Description

• Understand, format and prepare data for analytics and data-science processes. • Design, build, and optimize scalable ETL/ELT pipelines for batch and streaming data. • Collaborate with analysts to understand data needs and ensure accessible, well-modeled data sets. • Dive deep into system metrics and usage patterns to identify opportunities for FinOps-driven cost savings. • Manage data infrastructure on GCP (BigQuery, Cloud Composer,Vertex AI, Kubernetes, etc.). • Automate infrastructure provisioning using Pulumi or Terraform. • Set up data quality monitoring, alerting, and logging systems. • Collaborate with data scientists and ML engineers to productionize models and build supporting pipelines. • Continuously improve performance, scalability, and cost-efficiency of data workflows.

🎯 Requirements

• Strong experience with Python and SQL for data engineering. • Solid understanding of cloud platforms (ideally GCP) and data services (BigQuery, Cloud Storage, etc.). • Hands-on experience with Infrastructure-as-Code tools like Pulumi or Terraform. • Experience with Airflow, dbt, or similar orchestration/transform tools. • Proficiency in Docker and Kubernetes for data workflows. • Understanding of Linux systems, cloud networking, and security best practices. • Experience with CI/CD pipelines and version control (GitLab or similar). • A mindset for continuous improvement, optimization, and working cross-functionally. • Previous exposure to FinOps practices or cost-optimization work in cloud environments. (plus) • Experience with ClickHouse. (plus) • Experience with AWS. (plus) • Familiarity with iGaming, B2B SaaS, or Fintech domains. (plus) • Experience supporting data science/ML workflows in production. (plus) • Cloud/data-related certifications. (plus)

🏖️ Benefits

• Work on meaningful data products and shape them with your vision. • 25 vacation days + birthday leave. • Flexible, remote-friendly culture with a small, dedicated team. • English classes with native speakers. • Health insurance. • Annual education & development budget.