We are looking for a Senior Data Engineer with a strong software engineering background and deep expertise in building modern cloud-based data platforms.
You will be responsible for designing and developing scalable data infrastructure, building reliable data pipelines, and establishing engineering best practices across our data ecosystem. This role is ideal for someone who enjoys solving complex engineering challenges while enabling analytics, machine learning, and product teams with high-quality data.
ResponsibilitiesData Platform- 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.
- Continuously improve platform performance, scalability, and operational efficiency.
- Drive Infrastructure as Code (IaC), CI/CD, and automation across the data platform.
- Contribute to the development of ML and AI infrastructure.
- Establish engineering best practices, code quality standards, and technical documentation.
- Collaborate closely with Analytics, Data Science, Product, and Engineering teams.
- Python
- SQL
- Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer)
- Apache Airflow
- Terraform
- Kubernetes
- Docker
- CI/CD
- REST APIs
- Git
Requirements
- 6+ years of experience in Data Engineering, including 3+ years in Senior-level roles.
- Strong software engineering background with excellent Python skills.
- Proven 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
- Experience building ML infrastructure and supporting Data Science teams.
- Experience with Kafka or other streaming platforms.
- Experience working with fintech, crypto, Web3, or high-scale B2C products.
- Experience with modern data lakehouse architectures.
- 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).
Skills Required
- 6+ years of experience in Data Engineering, including 3+ years in Senior-level roles.
- Strong software engineering background with excellent Python skills.
- Strong SQL skills.
- Proven experience designing and building cloud-based data platforms and data warehouses.
- 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.
- Define and maintain data models, data contracts, and integration standards across systems.
- Build and maintain analytical data marts for business and product teams.
- Drive Infrastructure as Code (IaC), CI/CD, and automation across the data platform.
- Experience building ML infrastructure and supporting Data Science teams.
- Experience with Kafka or other streaming platforms.
- Experience working with fintech, crypto, Web3, or high-scale B2C products.
- Experience with modern data lakehouse architectures.
- Experience using AI tools to improve engineering productivity.
What We Do
At GoMining, we’re building a Bitcoin-centric superapp and web3 ecosystem — a gateway to earn, engage, and expand your exposure to BTC in entirely new ways. Mining remains our foundation. But our ambition reaches far beyond. Over the past year, we’ve started layering experiences that connect users more deeply with the Bitcoin economy: 🔹 Miner Wars — the world’s first GameFi mining strategy, letting players compete, strategize, and influence real Bitcoin rewards. 🔹 Virtual + debit cards (coming soon) — bringing daily BTC utility to the mainstream. 🔹 A Bitcoin rewards marketplace — turn hashrate earnings into real-world value. 🔹 BTCFi launchpad — early access to Bitcoin-native projects, with allocation rights tied to actual hashrate ownership. We’ve also hit major milestones on the way: ✅ 4,170+ BTC mined ✅ 3,389,230 total registered app users And we’re just getting started. From real mining infrastructure to GameFi, mining rewards, and Bitcoin-powered financial tools — we’re reimagining what it means to interact with Bitcoin. Seamlessly. Strategically. Globally. If you’re a forward-thinker with a passion for blockchain, crypto, and decentralized tech — we’d love to connect. Explore open roles and help us shape the next chapter of Bitcoin.
