{"id":3454481,"url":"https://alion.io/job/whitebit-head-of-data-platform-eu","title":"Head of Data Platform (EU)","company":{"id":175925,"name":"WhiteBIT","domain":"whitebit.com","url":"https://alion.io/company/whitebit","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":90000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4188},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":true},{"name":"ClickHouse","optional":true},{"name":"Grafana","optional":true},{"name":"Jira","optional":true},{"name":"KDB+","optional":true},{"name":"Least Privilege","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-10-20T17:45:17Z","employer_posted_date":null,"last_verified_at":"2026-10-20T17:45:17Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"We are the creators of a new fintech era!\n\nOur mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.\n\nWe are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.\n\nOur official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.\n\nJoin us as a Head of Data Platform. \n\nRequirements:\n\nEducation & Experience:\n\n— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher\n\n— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify\n\n— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error\n\nCore Technical Skills — data platform:\n\n— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production\n\n— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset\n\n— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact\n\n— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting\n\n— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on\n\nCore Technical Skills — analytics & applied math:\n\n— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles\n\n— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query\n\n— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself\n\n— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate\n\nMarket & Domain Knowledge:\n\n— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime\n\n— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms\n\n— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships\n\n— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders\n\n— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks\n\n— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data\n\nMindset & Soft Skills:\n\n— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead\n\n— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders\n\n— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates\n\nResponsibilities — Platform:\n\n— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset\n\n— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs\n\n— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace\n\n— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation\n\n— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards\n\n— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships\n\n— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable\n\nResponsibilities:\n\n— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity\n\n— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap\n\n— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. \n\nWorking terms\n\nImmerse yourself in Crypto & Web3:\n\nMaster cutting-edge technologies and become an expert in the most innovative industry.\n\nWork with the Fintech of the Future:\n\nDevelop your skills in digital finance and shape the global market.\n\nTake Your Professionalism to the Next Level:\n\nGain unique experience and be part of global transformations.\n\nDrive Innovations:\n\nInfluence the industry and contribute to groundbreaking solutions.\n\nJoin a Strong Team:\n\nCollaborate with top experts worldwide and grow alongside the best.\n\nWork-Life Balance & Well-being:\n\nModern equipment.\n\nComfortable working conditions, and an inspiring environment to help you thrive.\n\n22 business days of paid leave.\n\nAdditional days off for national holidays.","description_format":"text","description_chars":7162,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Cyprus","iso":"CY","kind":"region"},{"name":"Czech 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