{"id":3411202,"url":"https://alion.io/job/gr8-tech-middle-data-engineer","title":"Middle Data Engineer","company":{"id":1915619,"name":"GR8_TECH","domain":"gr8.tech","url":"https://alion.io/company/gr8-tech","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE","FR","GB","AT","BE","BG","HR","CZ","DK","FI","HU","IE","IT","NL","NO","PL","RO","ES","SE","CH","EE","GR","IS","LV","LI","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":31,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":168000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Aiohttp","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Linux","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-10-28T17:32:59Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-04T10:45:14Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"GR8_TECH builds B2B iGaming platforms for operators who play to lead.\nWe 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.\nWith 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.\nOur ambition drives us. Our people make it real.\nIf you’re a challenger in spirit and a champion in action - join us.\nWhy this role exists:\nThis 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.\nWhat you’ll drive:\nArchitecture & Data Modeling\nDesign and implement scalable data transformation layers, organizing raw data into validated, production-grade data marts.\n\nBuild and optimize semantic layer models, ensuring consistent metrics and definitions across all reporting surfaces.\n\nEstablish data modeling standards utilizing optimal storage formats (Parquet, ORC, AVRO) and storage engines (PostgreSQL, ClickHouse, Redshift/BigQuery).\n\nPipeline Delivery & Execution\nShip and maintain end-to-end data ingestion pipelines integrating internal services and third-party event streams (Kafka, Kinesis, external APIs).\n\nAutomate data quality and integrity testing to catch pipeline breaks and silent schema drifts before they reach downstream consumers.\n\nTune query performance and pipeline bottlenecks, actively managing indexing, data partitioning, and job scheduling.\n\nPlatform Operations & Integration\nExpose data-centric services by building and managing performant REST APIs using modern frameworks (FastAPI, Flask, or Aiohttp).\n\nEnforce granular access control across our data layers via RBAC, row-level security (RLS), and column-level masking.\n\nAutomate CI/CD workflows and deployments using Docker, GitLab CI, and Terraform across our cloud infrastructure.\n\nEngineering Quality & Cross-Team Alignment\nPartner with product managers, software engineers, and analysts to translate business logic into maintainable technical requirements.\n\nParticipate in thorough code and architecture reviews, upholding strict testing standards (unit, integration, TDD/BDD).\n\nDocument system designs and data catalog schemas, making data discoverable and self-serve across the organization.\n\nWhat makes you a GR8 fit:\nMust-have\n3+ years of production experience in Data Engineering, Software Engineering, or related distributed data systems.\n\nProven SQL & Database expertise: Strong hands-on work with relational databases (PostgreSQL) and modern analytical/columnar data warehouses (ClickHouse, BigQuery, or Redshift).\n\nDemonstrated pipeline & distributed compute skills: Practical experience orchestrating distributed jobs (Spark, Trino, Flink) and handling event streaming engines (Kafka, RabbitMQ, or Kinesis).\n\nSolid software engineering foundations: Proficient in writing clean, modular Python for data applications, pipeline orchestration, and REST APIs.\n\nLinux, Container, & CI/CD literacy: Comfortable writing Dockerfiles, configuring CI/CD pipelines (GitLab CI, GitHub Actions), and utilizing Git version control.\n\nData quality discipline: Direct experience implementing automated data testing, schema validation, and pipeline observability.\n\nNice-to-have\nHands-on experience with Infrastructure as Code (Terraform) and AWS cloud services.\n\nPractical exposure to metadata management tools (DataHub, OpenMetadata).\n\nUnderstanding of resilience patterns in distributed systems (circuit breakers, rate limiting, connection pooling).\n\nDegree in Computer Science, Software Engineering, or equivalent practical experience.\n\nWhy you’ll love working here:\nBenefits Cafeteria - annual budget you allocate to:\nSports\nMedical\nMental health\nHome office\nLanguages.\nWork-life & support\nPaid maternity/paternity leave + monthly childcare allowance.\n\n20+ vacation days, unlimited sick leave, emergency time off.\n\nRemote-first + tech support + coworking compensation.\n\nTeam events (online/offline/offsite).\n\nLearning culture with internal courses + growth programs.\n\nOur culture & core values:\nGR8_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.\nFUELLED BY TRUST: we’re open, honest, and have each other’s backs.\nOWN YOUR GAME: we take initiative and own what we do.\nACCELER8: we move fast, focus smart, and keep it simple.\nCHALLENGE ACCEPTED: we grow through challenges and stay curious.\nBULLETPROOF: we’re resilient, ready, and always have a plan.","description_format":"text","description_chars":4959,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Cafeteria","Home office"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United 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