{"id":159145,"url":"https://alion.io/job/eneba-data-engineer-platform","title":"Data Engineer, Platform","company":{"id":56406,"name":"Eneba","domain":"eneba.com","url":"https://alion.io/company/eneba","size_band":"201-500","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":"senior","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":{"min":55000,"max":72000,"currency":"EUR","period":"year","gross":true,"usd_annual":80689},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Git","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-07-17T09:44:28Z","employer_posted_date":"2026-07-17","last_verified_at":"2026-10-17T11:28:22Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":92},"description":"About Eneba\nAt Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.\nAbout the team\nWe're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions.\nResponsibilities\nEnable efficient data access by creating and maintaining data pipelines.\n\nCollaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.\n\nBuild data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics.\n\nIdentify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes.\n\nDesign new and improve current patterns for building data models and implement necessary modifications.\n\nRequirements\n5+ years of experience in data engineering or in a similar role.\n\nExtensive experience with Apache Spark using Python for large-scale data processing.\n\nFamiliarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage.\n\nExperience with AWS, Azure, or other Kubernetes platforms is a huge plus.\n\nMust have hands-on expertise with Git for version control and collaboration.\n\nSolid knowledge of SQL, essential for querying and managing relational databases.\n\nSalary ranges: 55000-72 000 eur gross annually\nWhat it’s like to work at Eneba\n*Opportunity to join our Employee Stock Options program.\n*Opportunity to help scale a unique product.\n*Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.\n*Paid volunteering opportunities.\n*Work location of your choice: office, remote, opportunity to work and travel.\n*Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.\n*Please attach CV's in English.\n*To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice 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