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AI Summary

You will design and implement scalable data transformation layers and build robust ingestion pipelines to power real-time analytics. Additionally, you will maintain data governance, optimize query performance, and collaborate with cross-functional teams to translate business logic into technical requirements.

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.

  • 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.

What makes you a GR8 fit:

Must-have

  • 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).

  • Demonstrated pipeline & distributed compute skills: 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.

Nice-to-have

  • Hands-on experience with Infrastructure as Code (Terraform) and AWS cloud services.

  • Practical exposure to metadata management tools (DataHub, OpenMetadata).

  • Understanding of resilience patterns in distributed systems (circuit breakers, rate limiting, connection pooling).

  • Degree in Computer Science, Software Engineering, or equivalent practical experience.

Why you’ll love working here:

Benefits Cafeteria — annual budget you allocate to:

Sports • Medical • Mental health • Home office • Languages.

Work-life & support

  • Paid maternity/paternity leave + monthly childcare allowance.

  • 20+ vacation days, unlimited sick leave, emergency time off.

  • Remote-first + tech support + coworking compensation.

  • Team events (online/offline/offsite).

  • Learning culture with internal courses + growth programs.

Our culture & core values:

GR8_TECH culture is how we win — through trust, ownership, and a growth mindset. We move fast, stay curious, and keep it real, with open feedback, room to experiment, and a team that’s got your back.

FUELLED BY TRUST: we’re open, honest, and have each other’s backs.

OWN YOUR GAME: we take initiative and own what we do.

ACCELER8: we move fast, focus smart, and keep it simple.

CHALLENGE ACCEPTED: we grow through challenges and stay curious.

BULLETPROOF: we’re resilient, ready, and always have a plan.

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