{"id":7315,"url":"https://alion.io/job/addepto-data-engineer-azure-data-factory","title":"Data Engineer (Azure)","company":{"id":2713,"name":"Addepto","domain":"addepto.com","url":"https://alion.io/company/addepto","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":79,"open_postings":14,"ghost_share":0.357,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":84000,"period":"year","method":"role_country_seniority_unknown","sample_n":361},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Anthropic","optional":true},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-02-16T13:29:23Z","employer_posted_date":"2026-02-16","last_verified_at":"2026-10-17T04:16:42Z","board_verified":true,"closed_at":null,"days_open":242,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":242},"description":"Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.\nThe company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue- and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.\nAs part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities-enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.\nAs a Data Engineer, you will have the opportunity to support and further develop an Azure-based data integration solution built primarily around Azure Data Factory (ADF). The current environment includes Azure Functions and ingestion components, but daily delivery is strongly centered on ADF pipeline design, orchestration, monitoring, and continuous improvement.\nThe project focuses on expanding and stabilizing the existing data platform, including the warehouse layer (Azure SQL Database or Synapse), optional dbt-based transformations, and occasional Power BI reporting support. You will work closely with the client-side Product Owner and Architect, proactively aligning business needs with technical implementation decisions and ensuring high-quality, scalable solutions. Additionally, you will contribute to Azure DevOps CI/CD pipelines and release processes to maintain reliable deployments across environments.\nYour main responsibilities:\nDesign, develop, and maintain Azure Data Factory pipelines, including orchestration, parameterization, and trigger management.\n\nConfigure and manage linked services and datasets within ADF.\n\nMonitor, troubleshoot, and optimize ADF pipelines to ensure performance and reliability.\n\nDevelop and maintain ETL/ELT processes and support the evolution of the data warehouse layer (Azure SQL Database or Synapse).\n\nTranslate business requirements into technical solutions in close collaboration with the Product Owner and Architect.\n\nDevelop and maintain Python-based components (e.g., Azure Functions, API integrations, automation scripts).\n\nContribute to CI/CD processes in Azure DevOps, including pipelines, releases, and environment promotion.\n\nSupport occasional Power BI reporting and dashboarding needs.\n\nEnsure proactive communication, stakeholder alignment, and visibility of risks and impacts.\n\nTake ownership of assigned tasks and actively contribute to continuous platform improvement.\n\nRequirements\nWhat you'll need to succeed in this role:\nStrong hands-on experience with Azure Data Factory (must-have), including: pipeline and orchestration design, linked services, datasets, triggers, and parameterization, operational monitoring, troubleshooting, and performance tuning, and deployment-aware ADF development in enterprise environments.\n\nExcellent knowledge of Python (Azure Functions, REST APIs, automation).\n\nStrong SQL skills and solid understanding of data modeling for ETL/ELT and warehouse workloads.\n\nExperience with CI/CD processes in Azure DevOps (pipelines, releases, multi-environment deployments).\n\nSolid understanding of Azure services and cloud-based data solutions (e.g., Azure SQL Database, Azure Key Vault).\n\nExperience with Power BI for occasional dashboarding and reporting.\n\nExperience working with modern development practices and tools.\n\nConsulting mindset with proactive communication and strong stakeholder alignment skills.\n\nAbility to effectively collaborate with Product Owner and Architect during planning and delivery.\n\nIndependent and responsible approach to delivering high-quality solutions.\n\nExcellent command of English (at least C1 level).\n\nNice to have:\nKnowledge of dbt.\n\nExperience implementing data warehouses on Azure.\n\nDiscover our perks & benefits:\nWork in a supportive team of passionate enthusiasts of AI & Big Data.\n\nEngage with top-tier global enterprises and cutting-edge startups on international projects.\n\nEnjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.\n\nAccelerate your professional growth through career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences. Benefit from partnerships with Databricks and Anthropic, which provide access to industry-leading training materials and certification programs.\n\nParticipate inteam-building events and utilize the integration budget.\n\nCelebrate work anniversaries, birthdays, andmilestones.\n\nAccess medical andsports packages, eye care, and well-being support services, including psychotherapy and coaching.\n\nGet full work equipment for optimal productivity, including a laptop and other necessary devices.\n\nWith our backing, you can boostyour personal brand by speaking at conferences, writing for our blog, or participating in meetups.\n\nExperience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.","description_format":"text","description_chars":5628,"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":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-02-16T13:29:23Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.284,"p_room":0.28,"age_days":241,"expected_fill_days":52,"reasons":["conf:3","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/addepto-data-engineer-azure-data-factory","json_url":"https://alion.io/job/addepto-data-engineer-azure-data-factory.json","meta":{"generated_at":"2026-10-17T05:44:42Z","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":7750,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":2713},"rest":"https://alion.io/mcp/rest/get_company?id=2713"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faddepto-data-engineer-azure-data-factory"},{"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%2Faddepto-data-engineer-azure-data-factory"},{"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%2Faddepto-data-engineer-azure-data-factory"},{"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/addepto-data-engineer-azure-data-factory\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faddepto-data-engineer-azure-data-factory"}]}