{"id":147221,"url":"https://alion.io/job/mindbox-junior-data-engineer","title":"Junior Data Engineer","company":{"id":53456,"name":"Mindbox","domain":"mindboxgroup.com","url":"https://alion.io/company/mindbox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":88,"open_postings":72,"ghost_share":0,"stale_share":0.472,"repost_share":0.028,"time_to_fill_p50_days":53,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":77000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Clojure","optional":false},{"name":"Haskell","optional":false},{"name":"KDB+","optional":false},{"name":"Linux","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Wolfram","optional":false}],"status":"live","first_seen_at":"2026-08-24T11:37:07Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-17T01:08:21Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nYou will join the AI Markets development team, responsible for providing reporting, analytics, and management information from multiple data sources to a diverse set of users, including senior management, quants, traders, and external clients.\nA key component of this solution is kdb+, one of the most advanced time-series databases where speed and performance at scale are critical. You will work with large datasets and real-time systems, focusing on data engineering, performance optimization, and API integration.\nSounds like your kind of challenge?\nResponsibilities\nFlexible cooperation model\nHybrid work setup - remote days available depending on the client’s arrangements - 2 days a week from the office in Kraków\nCollaborative team culture - work alongside experienced professionals eager to share knowledge \nContinuous development - access to training platforms and growth opportunities \nComprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more \nHigh quality equipment - laptop and essential software provided \nRequirements\nPlatform Design & Development\nDevelop and optimize kdb+ queries and processes to meet low-latency, high-throughput performance requirements\nBuild analytic and aggregation layers that feed APIs, downstream systems, and AI/ML workflows\nData Engineering & Integration\nExpose kdb+ data to front-end applications, AI engines, and reporting systems via APIs\nCollaborate with AI/data engineering teams to deliver structured, high-quality datasets for models\nPerformance & Reliability\nImplement monitoring and alerting solutions for kdb+ environments\nSupport failover strategies and disaster recovery plans for critical services\nCollaboration & Governance\nPartner with traders, quants, and business stakeholders to translate requirements into scalable solutions\nAdhere to internal policies around data governance, operational risk, and model risk complia\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\nA strong analytical mindset and a passion for solving complex data engineering challenges\nSolid computer science fundamentals or experience with functional programming languages (Haskell, Clojure, Scala) OR vectorization skills in Python, R, Matlab, or Wolfram\nInterest in large datasets, data modeling, and statistical concepts\nFamiliarity or willingness to learn Linux, Cloud infrastructure, and AI/ML integration\nAbility to own tasks from requirements gathering to implementation and testing with cooperative engagement\nExcellent problem-solving skills, proactive attitude, and strong communication skills\nNice to Have\nExperience in financial services or trading environments\nKnowledge of cloud platforms and distributed systems\nExposure to kdb+/q or interest in building expertise\nJoining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. 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