GoMining is hiring a Senior Data Engineer in IT — Cyprus / Georgia / Poland / Spain / Serbia / Latvia. The overview below is synthesized from the employer posting on apply.workable.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
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.
Responsibilities
Day-to-day scope for the Senior Data Engineer as described in the posting:
Data 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.
Data Engineering
- 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.
Platform Reliability
- 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.
Engineering Excellence
- 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.
Technology Stack
- Python
- SQL
- Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer)
- Apache Airflow
- Terraform
- Kubernetes
- Docker
- CI/CD
- REST APIs
- Git
- 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
Nice to have
Additional experience noted as a plus:
- 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.
- 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).
Build a standout application
For the Senior Data Engineer at GoMining, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it.