Middle Data Engineer
GR8 Tech · Remote · Posted October 28, 2026
- Who can apply
- EU-wide
Europe
- Pay
- Not stated in the posting
- How you’d be employed
- Employee
- Level
- Mid-level
- Location in the posting
- Europe
- Skills required
- SQL, PostgreSQL, Python, Spark, Kafka, Docker, GitLab CI, Git, ClickHouse
- Nice to have
- Terraform
- Benefits in the posting
- 20 vacation days, Home office budget, Coworking budget, Learning budget, Team offsites, Extra parental leave, Wellbeing budget
Analyzed from the full posting. Quotes are the posting’s own words.
From the posting
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.