{"id":3967999,"url":"https://alion.io/job/inetum-regular-data-engineer-i-2","title":"Regular Data Engineer / I","company":{"id":3561,"name":"Inetum","domain":"inetum.com","url":"https://alion.io/company/inetum","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":519,"ghost_share":0,"stale_share":0.815,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"Bicep","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-09T14:13:45Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T20:05:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.\nGlobally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:\n Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions.\n Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs.\n Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow.\n Custom Software Development (Inetum Software): Creating unique software solutions to meet specific client needs.\nWith strategic partnerships with major technology giants, including Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements. In 2023, Inetum reported revenues of €2.5 billion, underscoring its strong position in the digital services market.\nInetum distinguishes itself by offering a comprehensive range of benefits that meet the diverse needs of employees, providing flexibility, support and commitment. Here's what makes working at Inetum unique:\nAttractive financial benefits:\nA cafeteria system that allows employees to personalize benefits by choosing from a variety of options.\nGenerous referral bonuses, offering up to PLN6,000 for referring specialists.\nAdditional revenue sharing opportunities for initiating partnerships with new clients.\nProfessional development and team support:\nOngoing guidance from a dedicated Team Manager for each employee.\nTailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.\nCommunity and Well-Being:\nDedicated team-building budget for online and on-site team events.\nOpportunities to participate in charitable initiatives and local sports programs.\nA supportive and inclusive work culture with an emphasis on diversity and mutual respect.\n We are looking for an experienced Data Engineer to join a project focused on building and developing modern cloud-based data solutions. You will work primarily with Microsoft Azure, Azure Data Factory and Snowflake, designing end-to-end data pipelines and transforming data into reliable, scalable datasets for reporting and analytics.\nThe role combines hands-on data engineering, data modelling and cloud integration, with a strong focus on performance, automation and data quality.\nYour responsibilities:\nDesign, build and maintain batch and incremental ETL/ELT pipelines from source systems to Snowflake.\nDevelop and orchestrate data pipelines using Azure Data Factory, including linked services, datasets, data flows, triggers and reusable parameterised pipelines.\nDesign and maintain data models in Snowflake, covering staging, core and data mart layers.\nManage Snowflake warehouses, schemas, roles and data-loading mechanisms such as COPY INTO, Snowpipe and stages.\nWrite, optimise and maintain complex SQL queries for data transformations, reporting and data quality validation.\nIntegrate Azure services, including Azure Data Lake Storage Gen2, Azure Key Vault, Azure SQL and Azure Functions.\nMonitor data pipelines, troubleshoot failures and optimise solutions for both performance and cost.\nApply CI/CD and Git-based version control, supporting controlled promotion of data solutions between environments.\nCreate and maintain technical documentation for pipelines and data models.\nCollaborate with stakeholders to understand business needs and translate them into scalable data solutions.\n What we're looking for:\nAt least 3 years of professional experience as a Data Engineer or in a similar data-focused role.\nProven experience building end-to-end data pipelines, from ingestion through transformation to consumption.\nHands-on commercial experience with Azure Data Factory in production environments.\nPractical experience with Snowflake, including data loading, data modelling, performance optimisation and access control.\nAdvanced knowledge of SQL, including joins, CTEs, window functions and query optimisation.\nSolid knowledge of the Microsoft Azure ecosystem, particularly storage, security, monitoring and basic networking concepts.\nGood understanding of data warehousing concepts, including dimensional modelling, Slowly Changing Dimensions (SCD) and incremental loading.\nAbility to troubleshoot data-processing issues and work independently on technical solutions.\nNice to have:\nExperience with Infrastructure as Code, particularly Terraform, Bicep or ARM templates.\nExperience building CI/CD pipelines with Azure DevOps or GitHub Actions.\nRelevant cloud or data certifications, for example Azure Data Engineer Associate (DP-203) or SnowPro Core.\nFluency in Polish and English required.\nHybrid work model: 2 days from the office, 3 days of home office.\nOffice location: Warsaw, Poznań, Lublin, Katowice, Rzeszów or Łódź.\nThank you for your interest in our offer. We will contact selected candidates whose experience best matches the requirements of the role.\nAdditional Information\nWe hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:\nhttps://inetum.whispli.com/speakup?locale=pl","description_format":"text","description_chars":5965,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[{"language":"Polish","level":"Advanced (C1)","optional":true},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Cafeteria","Home office","Hybrid work","Professional development"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Managed IT Services (MSP)","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-11-09T15:02:08Z"}],"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":34,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-11-10T00:52:34Z"},"pay":null,"html_url":"https://alion.io/job/inetum-regular-data-engineer-i-2","json_url":"https://alion.io/job/inetum-regular-data-engineer-i-2.json","meta":{"generated_at":"2026-11-10T00:52:34Z","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":1888,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":3561},"rest":"https://alion.io/mcp/rest/get_company?id=3561"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finetum-regular-data-engineer-i-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Finetum-regular-data-engineer-i-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Finetum-regular-data-engineer-i-2"},{"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/inetum-regular-data-engineer-i-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finetum-regular-data-engineer-i-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3967999}},{"tool":"search_jobs","arguments":{"company":"inetum.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3967999},"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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