Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 Cyprus, Georgia, +4 more countries – Remote

🇨🇾 Cyprus – Remote 🇬🇪 Georgia – Remote 🇵🇱 Poland – Remote 🇪🇸 Spain – Remote 🇷🇸 Serbia – Remote 🇱🇻 Latvia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

GoMining

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

📣 Marketing

₿ Crypto

Consulting • Marketing • Crypto

GoMining is a digital mining platform that enables users to earn daily Bitcoin rewards through unique digital miners generated at the time of purchase. Users can manage their miners directly from their mobile phones, benefiting from verified data centers while having full control over their mining operations and rewards. The GoMining ecosystem also features a marketplace for trading miners and offers educational resources to help users maximize their earnings in the cryptocurrency space.

📋 Description

• Design, build, and evolve GoMining's cloud data platform on Google Cloud Platform. • Develop scalable data architecture following modern engineering principles, including Medallion Architecture. • Define and maintain data models, data contracts, and integration standards across systems. • Build and maintain reliable batch and streaming data pipelines. • Integrate data from internal services and third-party APIs. • Develop scalable ETL/ELT workflows and automate data processing. • Build and maintain analytical data marts for business and product teams. • Ensure data quality, consistency, and reliability across the platform. • Implement monitoring, alerting, and SLA management for data pipelines. • Improve platform performance, scalability, and operational efficiency. • Drive Infrastructure as Code, CI/CD, and automation across the data platform. • Contribute to ML and AI infrastructure. • Establish engineering best practices, code quality standards, and technical documentation. • Collaborate with Analytics, Data Science, Product, and Engineering teams.

🎯 Requirements

• 6+ years of experience in Data Engineering, including 3+ years in Senior-level roles. • Strong software engineering background with excellent Python skills. • Experience designing and building cloud-based data platforms and data warehouses. • Strong hands-on experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, and Composer (Airflow). • Experience building ETL/ELT pipelines, streaming architectures, and API integrations. • Experience with Terraform, Kubernetes, Docker, and CI/CD pipelines. • Strong understanding of data modeling, distributed systems, and scalable data architectures. • Experience implementing data quality, monitoring, and observability solutions. • Strong SQL skills. • Nice to have: Experience building ML infrastructure and supporting Data Science teams. • Nice to have: Experience with Kafka or other streaming platforms. • Nice to have: Experience working with fintech, crypto, Web3, or high-scale B2C products. • Nice to have: Experience with modern data lakehouse architectures. • Nice to have: Experience using AI tools to improve engineering productivity.

🏖️ Benefits

• Professional growth: support for courses, conferences, and English learning (up to 100% coverage). • Work-life fit: remote or hybrid format with flexible hours across international teams. • Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year. • Recognition programs: structured performance reviews and team awards. • Team culture: retreats in international locations (for example, company apartments in Cyprus).