{"id":1998024,"url":"https://alion.io/job/redirecting-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2506156,"name":"INSCALE","domain":"inscale.net","url":"https://alion.io/company/inscale","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":"teamlyzer.com","ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":null,"salary_estimate":{"min_usd":38000,"max_usd":79000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T00:00:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-06T00:00:00Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"Sobre a vaga\nJoin a highly competent team of Data Engineers to bring value to data and participate in enabling data-driven business-critical decisions. You will help the team become self-servient from a technical point of view for the client Joe & The Juice.\nO que vais fazer\nThorough experience in Snowflake, DBT and Estuary/Fivetran to become the cornerstone of our team helping the team to become self-servient from technical point of view\nDevelop and maintain data platform through best practices, standards and processes for effective and efficient use\nCreate data pipelines to integrate various data sources for automating data deliveries for business critical functions\nSupport Data team’s vision of enabling stakeholders across the organization through data-driven decision making\nEnable effective data governance, data quality and platform monitoring\nO que é pedido\n5+ years of experience in data engineering and platforms, with strong interest in big data analytics and machine learning\nPractical experience with integration of data from multiple data sources (PostgreSQL, MySQL RDS, MS Dynamics, etc.)\nExperience supporting critical reporting and analytics (such as Finance, Supply Chain, Operations, Marketing, etc)\nExperience in creating API integrations and webhooks for connecting data warehouse to different data sources\nExperience with technologies like Docker, Git, etc\nKnowledge of Software engineering and CI/CD principles for developing, deploying, and maintaining end-to-end data pipelines and data solutions using agile practices\nSkills in programming languages such as SQL and Python\nTeam player with excellent communication skills to facilitate collaboration across departments\nCurious, self-driven, solution-oriented individual eager to learn new skills and adapt\nAdvanced degree in Computer Science, Engineering or related discipline with relevant years of experience in required skills\nTravelling: Ad hoc basis when necessary\nValorizado\nExperience in this stack (Estuary/Fivetran, dbt, Snowflake) is preferable but relevant experience with other similar tools is also valuable and will be considered\nData Science and Machine Learning knowledge\nAgentic coding methods and use of modern AI based IDEs (like Cursor)\nData quality and Infrastructure monitoring tools like Elementary, etc\nHands-on experience in complex timeseries data in Retail or related industry\nProgramming in Python, R\nO que é oferecido\nFlexible working environment\nCentrally Located Office\nMedical & Health Insurance\nErgonomic Workplace\nPaid Holidays and Sick Leave\nExpat Guide & Relocation Assistance\nINSCALE onboarding program\nCompetitive Package\nResumo organizado por IA a partir do anúncio original. 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