{"id":1337919,"url":"https://alion.io/job/teamlyzer-data-engineer-azure-2","title":"Data Engineer (Azure)","company":{"id":701663,"name":"Teamlyzer","domain":"teamlyzer.com","url":"https://alion.io/company/teamlyzer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":"teamlyzer.com","ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":30000,"max":36000,"currency":"EUR","period":"year","gross":null,"usd_annual":41047},"salary_estimate":null,"experience_years_min":3,"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":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T00:00:00Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Sobre a vaga\nAs a Data Engineer, you will be responsible for designing, developing, maintaining, and evolving data processes that transform data from operational systems into reliable and valuable data products for the business. You will work across the full data engineering lifecycle using modern Microsoft Azure technologies and Databricks.\nO que vais fazer\nDesign, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Databricks, SQL, and Python\nDevelop and evolve data processes that integrate data from operational systems into data warehouses, reporting platforms, and other downstream applications\nBuild and orchestrate workflows using Azure services such as Data Factory, Logic Apps, and Function Apps\nDevelop and optimise SQL processes, including complex queries, functions, stored procedures, and data transformations\nMaintain, troubleshoot, and continuously improve existing data pipelines and data warehouse processes\nContribute to new data engineering projects, translating business and technical requirements into robust and maintainable solutions\nMonitor pipeline performance, data quality, reliability, and operational issues, proactively identifying opportunities for improvement\nApply data engineering best practices and contribute to the evolution of the team's cloud-based data architecture\nWork closely with data engineers, analysts, business stakeholders, and other technical teams to ensure data is accurate, consistent, and fit for purpose\nWork independently while proactively responding to team and project needs\nO que é pedido\n3+ years of professional experience in Data Engineering, including data integration, transformation, modelling, and pipeline development\nStrong experience working with Microsoft Azure data services and cloud-based data solutions\nHands-on experience with Azure Data Factory and Databricks\nStrong experience with SQL and relational databases/data warehouses\nProfessional experience with Python for data engineering and automation\nExperience maintaining and evolving existing data platforms while contributing to new data projects\nExperience working in collaborative and Agile environments\nFluent in Portuguese and English\nMust be a Portuguese or European citizen or have a valid work permit for Portugal\nStrong knowledge of ETL/ELT processes, data pipelines, orchestration, and data integration\nSolid understanding of data warehousing and data modelling concepts\nAbility to analyse and troubleshoot complex data processes and performance issues\nStrong analytical and problem-solving capabilities\nAbility to work independently and take ownership of technical deliverables\nCommitment to clean, scalable, secure, and maintainable data solutions\nValorizado\nExperience with Azure services such as Logic Apps and Function Apps is highly valuable\nExperience with Azure Lakehouse architectures or modern cloud data platforms\nExperience with CI/CD, Git, and automated deployment of data solutions\nExperience with Azure DevOps or similar development and delivery platforms\nExposure to data quality, monitoring, and governance practices\nExperience in consulting or client-facing environments\nO que é oferecido\nCompensation: 30K to 35K gross per year\nMeal allowance: €10.20/day\nFlexible benefits plan\nPrivate medical insurance\n22 days of annual leave, increasing every 3 years (up to 25 days)\nContinuous learning via KLX - Keyrus Learning Experience\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":3526,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Portuguese","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Annual leave","Continuous learning","Health insurance"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Career Services","Job Boards & Aggregators","Online Reviews & Ratings"],"lifecycle":[{"event":"open","at":"2026-09-27T14:54:48Z"}],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.875,"p_room":1,"age_days":7,"expected_fill_days":30,"reasons":["seen:7","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":41047,"is_top_pay":false},"html_url":"https://alion.io/job/teamlyzer-data-engineer-azure-2","json_url":"https://alion.io/job/teamlyzer-data-engineer-azure-2.json","meta":{"generated_at":"2026-10-01T10:28:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1636,"day_limit":5000,"remaining_today":3364,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}