{"id":2376178,"url":"https://alion.io/job/keyrus-senior-data-engineer-snowflake","title":"Senior Data Engineer (Snowflake)","company":{"id":4416804,"name":"Keyrus","domain":"keyrus.pt","url":"https://alion.io/company/keyrus-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","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":"explicit","locations":["Lisbon, Portugal","Alcobendas, Spain"],"countries":["PT","ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":96000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Apache NiFi","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Hadoop","optional":false},{"name":"Informatica","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-09-10T10:07:06Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-13T11:47:26Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Why Keyrus, Why Now!\nKeyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.\nFor more than 30 years, we have been building the data foundations that make intelligent systems work - designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.\nAI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.\nAt Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.\nOver time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.\nTechnology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.\nRole Details\nJob location: Portugal or Spain (Remote model - 8:00 - 17:00 h, Portugal Time)\nContract type: Employee/ Contractor B2B\nTarget start date: December 2026/ January 2027\nWorking hours: Full-time (40h/week)\nCompensation: 45k - 55k per year or 250-300€ daily rate\nWhat You'll Architect\nAs a Senior Data Engineer with strong expertise in Snowflake, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.\nThis role is both technical and consultative, perfect for someone who can combine data engineering expertise, large-scale migration delivery, and modern cloud data platform design. We're looking for professionals who think like architects and act like builders.\nKey Responsibilities\nLead the migration of data workflows from Hadoop/Hive environments into Snowflake.\n\nDesign and implement a scalable Migration Factory to industrialise and automate migration processes.\n\nDevelop and optimise Dataiku workflows supporting data ingestion, transformation, orchestration, and automation.\n\nDesign and maintain robust ETL/ELT pipelines to improve scalability, reliability, and operational efficiency.\n\nAnalyse existing data solutions and identify opportunities for optimisation and performance improvement.\n\nImplement scalable and high-performing Snowflake architectures, ensuring security, governance, and operational excellence.\n\nCollaborate with Data Architects, Business Analysts, and stakeholders to translate business requirements into technical solutions.\n\nContribute to documentation, knowledge transfer, and engineering best practices across projects.\n\nWho You Are\nYou are curious, analytical, and motivated by solving complex data engineering challenges.\n\nYou enjoy transforming legacy environments into modern, scalable cloud data platforms.\n\nYou combine strong technical expertise with a practical understanding of business objectives.\n\nYou are comfortable working in collaborative and international environments.\n\nYou thrive when designing efficient, repeatable, and industrialised data processes.\n\nYou take ownership of technical initiatives and drive them through to successful delivery.\n\nYou enjoy investigating performance bottlenecks and identifying opportunities for optimisation.\n\nYou communicate clearly and effectively with both technical and business stakeholders.\n\nYou are comfortable working in French and English within an international project environment.\n\nWhat You Bring\nQualifications & Experience\nRelevant academic background in Computer Science, Data Engineering, Software Engineering, or equivalent professional experience.\n\n6+ years of experience as a Data Engineer or in a similar role.\n\nProven experience delivering data migration programmes, ideally within Lift & Shift initiatives.\n\nStrong experience working with modern data warehousing and data platform technologies.\n\nExperience collaborating with multidisciplinary teams and stakeholders.\n\nProfessional proficiency in English.\n\nProfessional proficiency in French.\n\nMust be a Portuguese or European citizen or have a work permit for Portugal\n\nTechnical & Professional Skills\nStrong expertise with Snowflake (data modelling, optimisation, performance tuning, security).\n\nHands-on experience with Dataiku or equivalent tools (Alteryx, Talend, Azure Data Factory, Informatica, Knime, Apache NiFi).\n\nStrong experience with: Hadoop; Hive; Legacy-to-cloud migration projects\n\nProficiency in:\nSQL\n\nRelational databases\n\nAnalytical databases\n\nProficiency in big data frameworks such as Apache Spark, or alternatives (Databricks, Flink, Beam).\n\nStrong analytical and problem-solving skills, with the ability to design scalable and maintainable data solutions.\n\nNice to Have\nExperience with AWS, Azure, or Google Cloud Platform (GCP).\n\nProgramming experience with Python or Scala.\n\nKnowledge of CI/CD pipelines and DevOps practices for data engineering.\n\nUnderstanding of Data Governance, Data Quality, and Data Security best practices.\n\nExperience working in consulting or client-facing environments.\n\nExposure to international projects and multicultural teams.\n\n⭐ What Makes You Successful\nYou focus on delivering reliable, scalable, and business-ready data solutions.\n\nYou approach migration challenges with both technical rigor and pragmatism.\n\nYou think beyond individual pipelines and contribute to the long-term evolution of data platforms.\n\nYou are passionate about automation, standardisation, and engineering efficiency.\n\nYou communicate complex technical concepts in a clear and accessible way.\n\nYou proactively identify performance improvements and optimisation opportunities.\n\nYou contribute to collective intelligence by sharing knowledge and supporting others.\n\nYou combine autonomy with collaboration and thrive in cross-functional environments.\n\nYou continuously seek opportunities to improve platform performance, data quality, and engineering standards.\n\nWhat We Offer at Keyrus Portugal\nCompetitive salary aligned with your experience and the data market\n\nMeal allowance: €10.20/day\n\nFlexible benefits plan\n\nPrivate medical insurance\n\n22 days of annual leave, increasing every 3 years (up to 25 days)\n\nContinuous learning via KLX - Keyrus Learning Experience\n\nA collaborative, international, and human-centred work environment\n\nHow Our Salary Ranges Work\nAt Keyrus, salary ranges reflect different levels of mastery and impact within the same role - not different job titles.\nBottom of the range\nYou meet the core requirements and will need ramp-up time and support.\n\nMiddle of the range\nYou are fully autonomous from Day 1 and deliver consistently.\n\nTop of the range\nYou are a reference for the role, mentor others, and raise the bar for the team.\n\nFinal offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.\nResponsible AI & Recruitment\nAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.\nTo support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.\nTo ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.\nOur commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.\nAny use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.\n Equal Opportunity Statement\nWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.","description_format":"text","description_chars":8165,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Portuguese","level":"All levels","optional":false},{"language":"French","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Annual leave","Continuous learning","Health insurance"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"},{"name":"Portugal","iso":"PT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-12T18:37:01Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.577,"p_room":0.55,"age_days":33,"expected_fill_days":23,"reasons":["conf:18","win:tail"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/keyrus-senior-data-engineer-snowflake","json_url":"https://alion.io/job/keyrus-senior-data-engineer-snowflake.json","meta":{"generated_at":"2026-10-14T11:16:48Z","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":13423,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4416804},"rest":"https://alion.io/mcp/rest/get_company?id=4416804"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkeyrus-senior-data-engineer-snowflake"},{"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%2Fkeyrus-senior-data-engineer-snowflake"},{"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%2Fkeyrus-senior-data-engineer-snowflake"},{"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/keyrus-senior-data-engineer-snowflake\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkeyrus-senior-data-engineer-snowflake"}]}