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 xugodme 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 adaptable 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)

📌 Senior Data Engineer (España)
🏢 Gomining
📍 España