Senior Data Engineer

We are looking for a Senior Data Engineer with a strong software engineering background and deep expertise in building modern cloud-based data platforms.

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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
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

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 xcskxlj observability solutions
Strong SQL skills

Nice to have

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)

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