{"id":3526773,"url":"https://alion.io/job/andersen-mldata-engineer","title":"ML/Data Engineer","company":{"id":8912,"name":"Andersen","domain":"andersenlab.com","url":"https://alion.io/company/andersen-lab","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"A","score":85,"open_postings":10,"ghost_share":0.1,"stale_share":0,"repost_share":0.6,"time_to_fill_p50_days":30,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland","Wrocław, Poland","Kraków, Poland","Poznań, Poland","Gdańsk, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":11550,"max":23000,"currency":"PLN","period":"month","gross":null,"usd_annual":70248},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Flink","optional":false},{"name":"InfluxDB","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"TimescaleDB","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"GraphQL","optional":true},{"name":"gRPC","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-10-30T12:30:48Z","employer_posted_date":null,"last_verified_at":"2026-10-30T12:30:48Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Andersen is hiring an ML/Data Engineer for a project developing an AI-powered sports performance platform and delivering scalable data solutions and real-time insights for athletes and coaches. \n\nOur customer is a global technology provider specializing in performance monitoring, data analytics, and operational optimization. It develops software platforms and data-driven solutions that help organizations improve efficiency, gain valuable insights, and make informed decisions. Serving clients across international markets, the company focuses on innovation and integrated technologies that enhance performance and support long-term growth. \n\nThe project is focused on developing an AI-powered sports performance intelligence platform that integrates sensor data, video, sports science, and historical athlete performance data. It includes building scalable data infrastructure and machine learning capabilities to deliver reliable, real-time insights for coaches, athletes, and performance teams across a global platform. \n\nResponsibilities: \nDesigning and building production data infrastructure for high-volume athlete performance and sensor data. \n\nBuilding and operating real-time and near-real-time ingestion systems for streaming data. \n\nDesigning storage and data architectures for high-volume time-series data and longitudinal athlete records. \n\nBuilding infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency. \n\nDesigning and implementing graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes. \n\nBuilding data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases. \n\nDesigning systems that maintain strong tenant-level data isolation across clubs and customers. \n\nEstablishing appropriate data provenance, lineage, auditability, and observability across the platform. \n\nWorking with ML and AI engineers to provide reliable data foundations for model training, inference, and evaluation. \n\nWorking with sport scientists and domain experts to translate complex requirements into durable production systems. \n\nMaking pragmatic technology and architecture decisions as the platform evolves. \n\nMust-haves: \nFull-time professional software or data engineering for 5+ years, excluding internships, university placements, coursework, and academic projects. \n\nProven experience designing, building, and operating production data infrastructure at scale. \n\n- Strong experience with time-series data or time-series databases (InfluxDB, TimescaleDB, Prometheus, ClickHouse, or equivalent). \n\nSignificant experience with real-time or streaming data ingestion (Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent). \n\nExperience designing graph data models or graph database schemas, not only querying an existing graph database. \n\nExperience designing or operating multi-tenant systems with tenant-level data isolation. \n\nStrong Python and SQL. \n\nExperience with production systems where reliability, scalability, observability, and data correctness matter. \n\nAbility to own ambiguous technical problems and turn them into practical production architecture. \n\nExperience working directly with data scientists, ML engineers, or other technical domain specialists. \n\nLevel of English – from Upper-Intermediate+ and above. \n\nNice-to-haves: \nProfessional experience with Go. \n\nExperience building probabilistic evaluation, model calibration, or model monitoring infrastructure. \n\nExperience with causal inference, counterfactual modelling, or simulation. \n\nUnderstanding of wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry. \n\nKnowledge graphs or domain-specific ontologies. \n\nLLM or AI evaluation frameworks and an understanding of their limitations. \n\nExperience with AWS, including ECS, EC2, Lambda, SNS, or SQS. \n\nExperience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies. \n\nReasons why this job would be interesting to you: \nExperience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. \n\nThe opportunity to change the project and/or develop expertise in an interesting business domain. \n\nJob conditions – you can work both fully remotely and from the office or can choose a hybrid variant. \n\nGuarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. \n\nThe opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. \n\nAccess to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. \n\nBright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). \n\nCertification compensation (AWS, PMP, etc). \n\nReferral program. \n\nPrivate health insurance and sports compensation, depending on the type of employment. \n\nYour personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy\nYour personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl\nJoin us! \nhttps://people.andersenlab.com/\nTech stack\nData engineer\nML\nAI Agents\nInfluxDB\nTimescaleDB","description_format":"text","description_chars":5644,"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":["Health insurance"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Software Testing & QA","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-30T14:25:00Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":70248,"is_top_pay":false},"html_url":"https://alion.io/job/andersen-mldata-engineer","json_url":"https://alion.io/job/andersen-mldata-engineer.json","meta":{"generated_at":"2026-11-01T20:04:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30904,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":8912},"rest":"https://alion.io/mcp/rest/get_company?id=8912"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fandersen-mldata-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fandersen-mldata-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fandersen-mldata-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/andersen-mldata-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fandersen-mldata-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3526773}},{"tool":"search_jobs","arguments":{"company":"andersenlab.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3526773},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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