{"id":2907983,"url":"https://alion.io/job/stafide-senior-data-engineer-azure","title":"Senior Data Engineer Azure","company":{"id":2681283,"name":"Stafide","domain":"stafide.nl","url":"https://alion.io/company/stafide","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","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":{"min_usd":59000,"max_usd":98000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":108},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-10-20T08:31:48Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T21:26:12Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"As a Senior Data Engineer - Azure, you will:\n\nDesign, develop, and maintain scalable and reliable data pipelines and enterprise data products.\nBuild and support data engineering solutions across cloud and on-premises environments.\nDevelop solutions using Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, SQL Server, and SSIS.\nDesign and implement robust ETL/ELT processes for enterprise data solutions.\nDevelop and maintain CI/CD pipelines using Azure DevOps and GitHub.\nApply Git-based development practices including branching, pull requests, code reviews, and release management.\nOptimize data pipelines, ETL/ELT processes, and data models for performance, stability, scalability, and data quality.\nTroubleshoot and resolve production data engineering and pipeline issues.\nCollaborate with business and technical stakeholders to understand requirements and deliver effective data solutions.\nMaintain clear and accurate technical documentation for data solutions and processes.\nContribute to the delivery and continuous improvement of production-ready data solutions within an Agile environment.\nWhat You Bring to the Table:\n\n6+ years of overall professional experience in Data Engineering, Data Warehousing, or a related field.\nStrong hands-on experience with Azure Data Factory (ADF).\nStrong experience with Azure Synapse Analytics.\nStrong experience with Azure Data Lake Storage (ADLS).\nStrong hands-on experience with Azure Databricks.\nStrong experience with SQL Server, T-SQL, and SQL Server Integration Services (SSIS).\nHands-on experience with CI/CD, Azure DevOps, and GitHub.\nStrong proficiency in SQL and Python.\nGood knowledge of data warehousing, dimensional modelling, and ETL/ELT concepts.\nExperience delivering production-ready data solutions in an Agile environment.\nStrong knowledge of Git-based development practices, including branching, pull requests, code reviews, and release management.\nStrong analytical and troubleshooting skills.\nStrong communication and stakeholder-management skills.\nYou should possess the ability to:\n\nDesign and develop scalable, reliable, and maintainable data pipelines.\nBuild enterprise data solutions using the Azure data engineering ecosystem.\nDevelop and optimize ETL/ELT workflows using Azure Data Factory, Databricks, and SSIS.\nWork effectively with Azure Synapse, ADLS, SQL Server, and T-SQL.\nDevelop efficient and high-quality SQL and Python solutions.\nDesign and work with data warehouses and dimensional data models.\nOptimize data pipelines and data models for performance, stability, scalability, and data quality.\nBuild and manage CI/CD pipelines using Azure DevOps and GitHub.\nFollow Git-based development practices and participate effectively in code reviews and release management.\nTroubleshoot complex production issues and identify appropriate root causes and solutions.\nWork effectively across cloud and on-premises data environments.\nCollaborate with business and technical stakeholders and translate requirements into technical solutions.\nDocument technical solutions, processes, and implementation details clearly.\nWork effectively within Agile teams and take ownership of assigned deliverables.\nWhat we bring to the table:\n\nThe opportunity to work on scalable and enterprise-grade Azure data engineering solutions.\nExposure to a broad Azure data technology stack including ADF, Synapse, ADLS, and Databricks.\nOpportunities to work extensively with SQL Server, T-SQL, SSIS, SQL, and Python.\nHands-on experience with modern CI/CD, Azure DevOps, GitHub, and Git-based development practices.\nOpportunities to work across both cloud and on-premises data environments.\nExposure to enterprise data warehousing, dimensional modelling, ETL/ELT, and data product development.\nA collaborative Agile environment involving business and technical stakeholders.\nOpportunities to contribute to performance optimization, data quality, production support, and continuous improvement.\nLet’s Connect\n\nWant to discuss this opportunity in more detail? Feel free to reach out.\nRecruiter: Giftson Paul Davidson\nPhone: +31 20 369 0609 ; Extn : 151\nE-mail: \nLinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/","description_format":"text","description_chars":4221,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-20T08:31:48Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":27,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/stafide-senior-data-engineer-azure","json_url":"https://alion.io/job/stafide-senior-data-engineer-azure.json","meta":{"generated_at":"2026-10-23T22:05:27Z","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":4646,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":2681283},"rest":"https://alion.io/mcp/rest/get_company?id=2681283"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstafide-senior-data-engineer-azure"},{"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%2Fstafide-senior-data-engineer-azure"},{"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%2Fstafide-senior-data-engineer-azure"},{"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/stafide-senior-data-engineer-azure\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstafide-senior-data-engineer-azure"}]}