{"id":2159120,"url":"https://alion.io/job/yellowipe-data-scientist-full-stack-data-engineer","title":"Data Scientist / Full Stack Data Engineer","company":{"id":4374582,"name":"YellowIpe","domain":"yellowipe.io","url":"https://alion.io/company/yellowipe","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":38000,"max_usd":85000,"period":"year","method":"role_country_seniority_unknown","sample_n":25},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Confluence","optional":false},{"name":"DynamoDB","optional":false},{"name":"Jira","optional":false},{"name":"Kubeflow","optional":false},{"name":"MLFlow","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Fargate","optional":true},{"name":"AWS Lambda","optional":true},{"name":"AWS Step Functions","optional":true},{"name":"CloudFormation","optional":true},{"name":"GDPR","optional":true},{"name":"Git","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-04T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-04T00:00:00Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"About YellowIpe\nOur mission is to inspire the connection between technology and people. We nurture the best in our professionals through our expertise in finding and attracting top talent for the best projects. People Focus, Collaboration, and Commitment are the pillars that guide us on this journey.\n\nJoin the yellow team as our new Data Scientist / Full Stack Data Engineer!\n\nResponsabilities:\nDevelop end-to-end data functionalities on an AWS Big Data platform, ensuring quality and scalability;\n\nActively participate in strategic discussions around solution architecture, data flows, and required processes, contributing both technical and business insights;\n\nCreate, maintain, and optimize data processing and analytics applications, integrating data engineering and data science methodologies;\n\nCreate proofs of concept to validate innovative approaches and technologies that meet project requirements;\n\nDevelop production-ready solutions following DevOps practices, including automated testing and secure deployments across development, quality assurance, and production environments;\n\nMonitor implemented solutions, supporting debugging activities and driving continuous improvements to ensure performance and security;\n\nWork with relational and NoSQL databases, implementing efficient queries to optimize data access;\n\nSupport data extraction and perform exploratory data analysis to identify relevant patterns and insights;\n\nContribute to deploying models into production environments and managing their lifecycle;\n\nMaintain accurate and up-to-date technical documentation covering workflows and solutions in use;\n\nManage and track the technical debt backlog, prioritizing issues that impact operational efficiency;\n\nSupport infrastructure change requests, ensuring alignment between data requirements and system architecture.\n\nRequirements:\nUp to 5 years of experience in a relevant role, preferably within data and software engineering environments;\n\nBachelor’s degree in Software Engineering, Computer Engineering, or a similar field;\n\nStrong experience with Python, particularly for data manipulation and processing using libraries such as Pandas and NumPy;\n\nStrong understanding of SQL and the ability to write complex queries for data analysis and integration;\n\nExperience with programming and debugging in software development environments;\n\nExperience with relational databases such as PostgreSQL or MySQL and NoSQL databases such as MongoDB or DynamoDB;\n\nExperience deploying models into production environments and managing their lifecycle using tools such as MLflow or Kubeflow;\n\nGenuine interest in Data Science and its practical applications;\n\nGood written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences;\n\nAbility to work independently and proactively, demonstrating initiative when solving problems;\n\nAbility to work effectively in collaborative environments and with global teams, adding value to technical discussions;\n\nStrong critical thinking and problem-solving skills to address complex challenges;\n\nKnowledge of Agile methodologies and tools such as Jira and Confluence;\n\nStrong commitment to the quality of delivered work;\n\nFluent English (mandatory).\n\nNice to have:\nExperience with AWS services such as S3, Lambda, Athena, EC2, Glue, CDK / CloudFormation, Step Functions, Batch, or Fargate, applying them to Big Data solutions;\n\nPractical knowledge of Spark / PySpark for large-scale data processing;\n\nFamiliarity with version control systems such as Git for effective team collaboration;\n\nExperience with Jupyter Notebooks, supporting interactive development and code sharing;\n\nExperience developing applications or working in production environments, understanding the importance of collaboration between development and operations;\n\nKnowledge of the Energy and Utilities sector, bringing domain insights to the solutions developed;\n\nUnderstanding of GDPR regulations and their application to Data Science projects;\n\nPortuguese language skills are valued;\n\nProactive and autonomous mindset, with a willingness to learn new skills and technologies;\n\nStrong team spirit and a collaborative approach focused on collective success.\n\nImportant information:\nContract type: Full-time\n\nLocation: Portugal - Lisbon - Lisbon\n\nWork model: Hybrid\n\nLanguage(s) required: English — Advanced (C1)\n\nLevel: Middle\n\nCandidatura: Ver a vaga e candidatar-me na YellowIpe","description_format":"text","description_chars":4446,"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":[],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-09T07:30:12Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.793,"p_room":0.945,"age_days":8,"expected_fill_days":22,"reasons":["seen:8","win:mid"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/yellowipe-data-scientist-full-stack-data-engineer","json_url":"https://alion.io/job/yellowipe-data-scientist-full-stack-data-engineer.json","meta":{"generated_at":"2026-10-12T07:53:47Z","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":12644,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":4374582},"rest":"https://alion.io/mcp/rest/get_company?id=4374582"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fyellowipe-data-scientist-full-stack-data-engineer"},{"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%2Fyellowipe-data-scientist-full-stack-data-engineer"},{"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%2Fyellowipe-data-scientist-full-stack-data-engineer"},{"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/yellowipe-data-scientist-full-stack-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fyellowipe-data-scientist-full-stack-data-engineer"}]}