{"id":1843456,"url":"https://alion.io/job/n-ix-middle-data-engineer-6-months-engagement-2","title":"Middle Data Engineer (6 months' engagement)","company":{"id":13248,"name":"N-iX","domain":"n-ix.com","url":"https://alion.io/company/n-ix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":11,"ghost_share":0,"stale_share":0.727,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":50000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":935},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Delta Lake","optional":true},{"name":"GitHub","optional":true},{"name":"Pandera","optional":true},{"name":"Spark","optional":true},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-10-04T19:01:29Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-20T21:58:52Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"N-iX is looking for a Middle Data engineer for 6 months' engagement. \nYou will act as the independent hands-on engineer and the technical owner of data readiness. The role combines pipeline and query engineering with investigation of source, mapping, hierarchy, and validation issues; coordination of market and provider validation cycles; reconciliation of outputs; and delivery of technically ready datasets to downstream consumers.\nThe Data Engineering team builds and maintains pipelines, while mappings and configurations determine cell/model scope; Snowflake extraction jobs run SQL through Databricks, with Blob Storage, validation, Medallion transformations, Power BI review, and Gold delivery to Ekimetrics. The operating model also requires end-to-end triage across MDFA, CDF, WPP, Data Foundation, Redmill, and market stakeholders rather than treating every discrepancy as a coding defect.\nKey responsibilities:\nIndependently design, develop, maintain, test, deploy, and optimize ingestion, validation, transformation, aggregation, data-quality, anomaly-detection, and extraction workflows\nDevelop and tune Python/PySpark packages, SQL extraction queries, Databricks jobs, ADF pipelines, Delta tables, and source-to-target contracts\nOwn technical readiness for new cells and refreshes: clarify filters and expected scope, implement or update queries, review mappings/configuration, reconcile outputs, and confirm readiness for business validation\nInvestigate source, NCID, taxonomy, hierarchy, mapping, naming-convention, aggregation, missing-week, outlier, and performance issues across CDF, MDFA/PFME, APIs, manual files, and specific sources\nCoordinate technical validation cycles with Product, CMIA/markets, WPP/MDFA, CDF, other data providers, and Ekimetrics; convert reported discrepancies into actionable owners and technical evidence\nDrive complex incident resolution across pipelines, data contracts, access, service principals, secrets, networking, Power BI refreshes, and downstream delivery\nReview pull requests and test evidence; guide the Junior engineer and delegate scoped engineering/support work without becoming a people manager\nMaintain architecture documentation, interface contracts, repository documentation, runbooks, deployment procedures, and support/escalation guidance\nRecommend practical automation, reliability, performance, and maintainability improvements while respecting platform standards and business-validation ownership.\nMust-have technical competencies:\n5-6 years’ professional engineering experience with independent production ownership\nStrong Python, PySpark, and SQL, including complex transformations, query optimization, reusable packages, debugging, tests, and reconciliation\nStrong ETL/ELT and batch-pipeline engineering across relational warehouses, APIs, object storage, and file-based ingestion\nExperience with a cloud data lake/lakehouse, Medallion patterns, schema/interface contracts, data-quality controls, orchestration, observability, and incident recovery\nSolid Git engineering practices: branching, pull requests, reviews, automated tests, deployment controls, and documentation\nProven ability to translate business/data requirements into filters, mappings, transformations, validation rules, and operational workflows\nStakeholder-facing problem solving: explain discrepancies, challenge incomplete requirements, establish technical owners, and drive issues to closure.\nNice-to-have:\nStrong preference for Azure Data Factory, Azure Databricks, Databricks Jobs/API, Delta Lake, Snowflake, Azure Blob Storage/Data Lake, Power BI, GitHub, and Azure Key Vault\nValuable experience with Pandera or equivalent schema-validation frameworks, Streamlit, Managed Identity/service principals, Azure Communication Services, Managed VNet/Private Endpoints, and Dev/Prod release practices\nExperience with PFME/media data, syndicated sales, marketing hierarchies, MMM inputs, or multi-market data onboarding is preferred but can be learned.\nWe offer*:\nFlexible working format - remote, office-based or flexible\nA competitive salary and good compensation package\nPersonalized career growth\nProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)\nActive tech communities with regular knowledge sharing\nEducation reimbursement\nMemorable anniversary presents\nCorporate events and team buildings\nOther location-specific benefits\n*not applicable for freelancers","description_format":"text","description_chars":4463,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-04T19:55:43Z"}],"visa":[],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.674,"p_room":0.9,"age_days":15,"expected_fill_days":41,"reasons":["conf:1","stale_co","urgency","velocity","win:mid","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/n-ix-middle-data-engineer-6-months-engagement-2","json_url":"https://alion.io/job/n-ix-middle-data-engineer-6-months-engagement-2.json","meta":{"generated_at":"2026-10-20T22:07:13Z","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":25878,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":13248},"rest":"https://alion.io/mcp/rest/get_company?id=13248"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fn-ix-middle-data-engineer-6-months-engagement-2"},{"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%2Fn-ix-middle-data-engineer-6-months-engagement-2"},{"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%2Fn-ix-middle-data-engineer-6-months-engagement-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/n-ix-middle-data-engineer-6-months-engagement-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fn-ix-middle-data-engineer-6-months-engagement-2"}]}