GR8_TECH builds B2B iGaming platforms for operators who play to lead. We deliver full-cycle, high-impact tech designed to scale — from seamless integrations and expert consulting to long-term operational support. Call it what it is: the iGaming Platform for Champions. Our people make it real. This role exists to scale and stabilize the core data infrastructure powering our real-time analytics and decision systems. You'll help us deliver accurate, zero-latency business insights by designing robust ingestion pipelines, building clean semantic models, and maintaining rock-solid data governance across the platform. Architecture & Data Modeling Design and implement scalable data transformation layers, organizing raw data into validated, production-grade data marts. Establish data modeling standards utilizing optimal storage formats (Parquet, ORC, AVRO) and storage engines (PostgreSQL, ClickHouse, Redshift/BigQuery). Ship and maintain end-to-end data ingestion pipelines integrating internal services and third-party event streams (Kafka, Kinesis, external APIs). Automate data quality and integrity testing to catch pipeline breaks and silent schema drifts before they reach downstream consumers. Tune query performance and pipeline bottlenecks, actively managing indexing, data partitioning, and job scheduling. Expose data-centric services by building and managing performant REST APIs using modern frameworks (FastAPI, Flask, or Aio Enforce granular access control across our data layers via RBAC, row-level security (RLS), and column-level masking. Automate CI/CD workflows and deployments using Docker, GitLab CI, and Terraform across our cloud infrastructure.



Engineering Quality & Cross-Team Alignment Partner with product managers, software engineers, and analysts to translate business logic into maintainable technical requirements. Participate in thorough code and architecture reviews, upholding strict testing standards (unit, integration, TDD/BDD). Document system designs and data catalog schemas, making data discoverable and self-serve across the organization. 3+ years of production experience in Data Engineering, Software Engineering, or related distributed data systems. ~ Proven SQL & Database expertise: Strong hands-on work with relational databases (PostgreSQL) and modern analytical/columnar data warehouses (ClickHouse, BigQuery, or Redshift). ~ Practical experience orchestrating distributed jobs (Spark, Trino, Flink) and handling event streaming engines (Kafka, RabbitMQ, or Kinesis). ~ Solid software engineering foundations: Proficient in writing clean, modular Python for data applications, pipeline orchestration, and REST APIs. ~ Linux, Container, & CI/CD literacy: Comfortable writing Dockerfiles, configuring CI/CD pipelines (GitLab CI, GitHub Actions), and utilizing Git version control. ~ Data quality discipline: Direct experience implementing automated data testing, schema validation, and pipeline observability. Hands-on experience with Infrastructure as Code (Terraform) and AWS cloud services. Degree in Computer Science, Software Engineering, or equivalent practical experience. Benefits Cafeteria — annual budget you allocate to: Home office Team events (online/offline/offsite). ~ We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that's got your back. OWN YOUR GAME we move fast, focus smart, and keep it simple.

📌 Remote Big Data Engineer (Ceuta)
🏢 GR8_TECH
📍 Ceuta