EU remote
Middle Data Engineer
About this role
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. Our platform powers millions of active players and drives real business growth. Call it what it is: the iGaming Platform for Champions. With 1000+ GR8 people across locations and time zones, we don’t just ship technology — we help operators build success stories across brands, markets, and geos.
Our ambition drives us. Our people make it real. If you’re a challenger in spirit and a champion in action — join us. WHY THIS ROLE EXISTS: 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.
WHAT YOU’LL DRIVE: Architecture & Data Modeling - Design and implement scalable data transformation layers, organizing raw data into validated, production-grade data marts. - Build and optimize semantic layer models, ensuring consistent metrics and definitions across all reporting surfaces. - Establish data modeling standards utilizing optimal storage formats (Parquet, ORC, AVRO) and storage engines (PostgreSQL, ClickHouse, Redshift/BigQuery).
Pipeline Delivery & Execution - 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.
Platform Operations & Integration - Expose data-centric services by building and managing performant REST APIs using modern frameworks (FastAPI, Flask, or Aiohttp). - 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.