{"id":2032574,"url":"https://alion.io/job/eer-poland-senior-big-data-time-series-infrastructure-engineer","title":"Senior Big Data & Time-Series Infrastructure Engineer","company":{"id":672956,"name":"EER Poland","domain":"eerpoland.com","url":"https://alion.io/company/eerpoland","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"C","score":56,"open_postings":34,"ghost_share":0.735,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","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":84000,"max_usd":199000,"period":"year","method":"global_role_seniority_cell","sample_n":3508},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cassandra","optional":false},{"name":"ClickHouse","optional":false},{"name":"InfluxDB","optional":false},{"name":"Linux","optional":false},{"name":"ScyllaDB","optional":false},{"name":"Time Series","optional":false},{"name":"Bash","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-07T12:25:16Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-28T10:48:31Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":20},"description":"Senior Big Data & Time-Series Infrastructure Engineer\nEngineering | Remote (Europe) | Full-time\nAbout the company\nOur client is a global fintech software vendor supplying advanced trading technology to leading banks and hedge funds. The company specializes in high-performance, low-latency trading strategy and market data solutions for the financial industry. Engineering is spread across several international development centers, and the working culture is collaborative and fast-moving.\nThe role\nWe are looking for a Big Data & Infrastructure Architect to lead the data architecture of a new trading analytics platform. You will be the main authority on the data engine behind real-time and historical analysis of liquidity, order fill quality and market impact. This is a foundational position: you will choose, deploy and tune the core of the analytics product.\nKey responsibilities\nArchitecture and technology selection: assess and choose the most suitable Big Data / NoSQL engine for high-frequency market data and trade execution logs.\n\nInfrastructure ownership: take responsibility for installation, configuration, scaling and long-term operation of the database environment.\n\nDesign: define the schema and storage strategy for very large datasets, ensuring high availability and resilience.\n\nQuery and performance tuning: write and optimize complex time-series queries (execution quality and liquidity metrics) so that real-time monitoring tools respond in under a second.\n\nKnowledge sharing: act as the subject matter expert and coach front-end developers and teammates on efficient ways to query and use the data layer.\n\nCollaboration: work closely with the team lead and UI developers so the data infrastructure fully supports product needs.\n\nRequirements\nDeep expertise in at least one leading Big Data or time-series database (for example ClickHouse, InfluxDB, or ScyllaDB/Cassandra)\n\nProven experience operating high-velocity data environments (streaming ticks, execution logs, order book events)\n\nStrong skills in writing and tuning complex queries over very large datasets (billions of rows)\n\nExtensive experience in Linux-centric environments, with a focus on system-level performance and low-latency tuning\n\nAbility to turn business metrics into efficient data structures, without necessarily writing application-level code\n\nExcellent English communication skills\n\nNice to have\nExperience in financial markets or trading technology (e.g. FIX protocol)\n\nBackground in high-performance hardware/software integration\n\nAutomation scripting (Python, 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