{"id":3451192,"url":"https://alion.io/job/sii-data-engineer-z-microsoft-azure-fmx","title":"Data Engineer z Microsoft Azure (f/m/x)","company":{"id":1387,"name":"Sii","domain":"sii.pl","url":"https://alion.io/company/sii","size_band":"5000+","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Białystok, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":92000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":19},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Machine Learning","optional":true},{"name":"MS SQL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-29T09:22:06Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-29T15:42:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This offer base language is Polish.\nTranslate into English.\n\nThis translation is generic and may include errors.\nShow original text\nTechnologie i narzędzia\nWymagane\n\nPython\n\nSQL\n\nETL/ELT\n\nApache Spark/PySpark\n\nMicrosoft Azure\n\nDatabricks\n\nMile widziane\nSnowflake\nApache Kafka\nApache Airflow\nDołącz do Centrum Kompetencyjnego Data & Analytics i twórz rozwiązania, które pomagają organizacjom skutecznie wykorzystywać potencjał danych. Będziesz pracować przy projektach opartych na technologiach Microsoft Azure, wykorzystujących m.in. Azure Databricks, Data Factory, Synapse czy Fabric. To także przestrzeń do wymiany wiedzy i poszerzania kompetencji w obszarach Data Science, Big Data i Machine Learning.\nTwoje zadania\nProjektowanie, budowanie i rozwijanie skalowalnych oraz wysokowydajnych platform przetwarzania danych w architekturze Data Lake / Data Platform\nTworzenie oraz utrzymanie pipeline’ów ETL/ELT do integracji danych z różnych źródeł oraz ich przetwarzania w środowisku Azure Databricks\nModelowanie danych oraz przygotowywanie struktur danych dostosowanych do potrzeb analitycznych i biznesowych\nImplementacja rozwiązań do przetwarzania danych (batch i/lub near real-time)\nMonitorowanie, optymalizacja i rozwój istniejących pipeline’ów oraz procesów przetwarzania danych\nWspółpraca z analitykami danych, zespołami BI oraz Data Science w zakresie przygotowania i udostępniania danych\nZbieranie wymagań biznesowych oraz proponowanie optymalnych rozwiązań technologicznych\nTworzenie i utrzymywanie dokumentacji technicznej dla rozwijanych rozwiązań\nWsparcie oraz mentoring mniej doświadczonych członków zespołu, dzielenie się wiedzą i najlepszymi praktykami\nWymagania\nMinimum 4 lata doświadczenia w projektach związanych z przetwarzaniem i integracją dużych wolumenów danych\nBardzo dobra znajomość SQL oraz Python\nDoświadczenie w pracy z frameworkami do przetwarzania danych takimi jak Apache Spark / PySpark\nPraktyczne doświadczenie w projektowaniu i budowie rozwiązań Data Lake oraz Data Warehouse\nUmiejętność budowania i utrzymywania pipeline’ów ETL/ELT oraz pracy z narzędziami do orkiestracji i integracji danych\nKomercyjne doświadczenie w projektach opartych na rozwiązaniach chmurowych Microsoft Azure w obszarze przetwarzania danych (np. Databricks, Azure Data Factory, Synapse, Fabric)\nZnajomość koncepcji przetwarzania danych w środowisku rozproszonym oraz optymalizacji pipeline’ów danych\nUmiejętność swobodnej komunikacji w języku angielskim\nWymagana płynna znajomość języka polskiego\nWymagane przebywanie na terenie Polski\nMile widziane\nDoświadczenie w projektach związanych z migracją danych z on-premise do chmury (bazy danych: Oracle, PostgreSQL, MS SQL)\nNr oferty JOB-2LAAV\nSii zapewnia, że wszystkie decyzje związane z zatrudnieniem są podejmowane wyłącznie na podstawie kwalifikacji i kompetencji. Zobowiązujemy się do równego traktowania wszystkich osób, niezależnie od cech chronionych, oraz promowania zróżnicowanego i integracyjnego środowiska pracy.\nTechnologies & tools\nMust have\n\nPython\n\nSQL\n\nETL/ELT\n\nApache Spark/PySpark\n\nMicrosoft Azure\n\nDatabricks\n\nNice to have\nSnowflake\nApache Kafka\nApache Airflow\nJoin the Data & Analytics Competency Center and create solutions that help organizations effectively leverage the potential of data. You will work on projects based on Microsoft Azure technologies, utilizing Azure Databricks, Data Factory, Synapse, and Fabric, among others. This is also a space for knowledge exchange and expanding competencies in the areas of Data Science, Big Data, and Machine Learning.\nYour tasks\nDesigning, building, and developing scalable and high-performance data processing platforms in Data Lake / Data Platform architecture\nCreating and maintaining ETL/ELT pipelines for data integration from various sources and processing them in the Azure Databricks environment\nData modeling and preparing data structures tailored to analytical and business needs\nImplementing solutions for data processing (batch and/or near real-time)\nMonitoring, optimizing, and developing existing pipelines and data processing processes\nCollaborating with data analysts, BI teams, and Data Science on data preparation and sharing\nGathering business requirements and proposing optimal technological solutions\nCreating and maintaining technical documentation for developed solutions\nSupporting and mentoring less experienced team members, sharing knowledge and best practices\nRequirements\nMinimum 4 years of experience in projects related to processing and integrating large volumes of data\nStrong knowledge of SQL and Python\nExperience working with data processing frameworks such as Apache Spark / PySpark\nPractical experience in designing and building Data Lake and Data Warehouse solutions\nAbility to build and maintain ETL/ELT pipelines and work with data orchestration and integration tools\nCommercial experience in cloud-based Microsoft Azure data processing projects (e.g., Databricks, Azure Data Factory, Synapse, Fabric)\nKnowledge of data processing concepts in a distributed environment and optimization of data pipelines\nAbility to communicate fluently in English\nFluent knowledge of Polish is required\nRequired to be located in Poland\nNice to have\nExperience in projects related to data migration from on-premise to cloud (databases: Oracle, PostgreSQL, MS SQL)\nJob no. JOB-2LAAV\nSii zapewnia, że wszystkie decyzje związane z zatrudnieniem są podejmowane wyłącznie na podstawie kwalifikacji i kompetencji. Zobowiązujemy się do równego traktowania wszystkich osób, niezależnie od cech chronionych, oraz promowania zróżnicowanego i integracyjnego środowiska pracy.","description_format":"text","description_chars":5617,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Polish","level":"Advanced (C1)","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Engineering Services","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-29T11:08:54Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["conf:3","win:early","comp:brand"],"computed_at":"2026-10-29T19:10:27Z"},"pay":null,"html_url":"https://alion.io/job/sii-data-engineer-z-microsoft-azure-fmx","json_url":"https://alion.io/job/sii-data-engineer-z-microsoft-azure-fmx.json","meta":{"generated_at":"2026-10-29T19:10:27Z","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":28516,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":1387},"rest":"https://alion.io/mcp/rest/get_company?id=1387"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsii-data-engineer-z-microsoft-azure-fmx"},{"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%2Fsii-data-engineer-z-microsoft-azure-fmx"},{"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%2Fsii-data-engineer-z-microsoft-azure-fmx"},{"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/sii-data-engineer-z-microsoft-azure-fmx\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsii-data-engineer-z-microsoft-azure-fmx"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3451192}},{"tool":"search_jobs","arguments":{"company":"sii.pl","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3451192},"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. Docs: https://alion.io/developers"}}