{"id":3348829,"url":"https://alion.io/job/syone-data-engineer-etl-french-speaker","title":"Data Engineer (ETL) French Speaker","company":{"id":2555720,"name":"Syone","domain":"syone.com","url":"https://alion.io/company/syone","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Deel","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","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":29000,"max_usd":77000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Talend","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"GDPR","optional":true},{"name":"Linux","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-10-27T16:07:28Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T08:19:38Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"What you will do\nCollaborate with business stakeholders to understand requirements and translate them into clear technical specifications for the Data Engineering team.\n\nDesign, develop and maintain data models, including star and snowflake schemas, optimized for analytics and reporting.\n\nDesign, develop and maintain dashboards and BI reporting solutions to support business decision-making.\n\nBuild, test and optimize ETL/ELT pipelines to integrate data from multiple sources into data warehouses.\n\nDevelop and maintain data integration processes using Stambia and other ETL tools.\n\nImplement automated data quality checks to ensure data reliability, consistency and integrity.\n\nMaintain data documentation, including data dictionaries, data definitions and data lineage.\n\nCollaborate with Data Engineers and other stakeholders to deliver scalable and efficient data solutions.\n\nContribute to the continuous improvement of data processes, performance and reporting capabilities.\n\nWhat you need to bring\nBachelor's or Master's degree in Computer Science, Data Science, Statistics, Finance, or a related field.\n\nAt least 3 years of professional experience in a similar role, such as Data Analyst, Analytics Engineer or BI Developer.\n\nStrong knowledge of SQL, including complex queries, joins, stored procedures and query optimization.\n\nSolid understanding of relational databases, data warehousing and data modeling, particularly the Kimball methodology.\n\nHands-on experience with ETL/ELT tools such as Stambia, Talend, Informatica, SSIS, Azure Data Factory or dbt.\n\nWillingness to learn and adapt to Stambia if you have experience with other ETL technologies.\n\nProfessional proficiency in French (minimum B2 level) to interact with French-speaking stakeholders.\n\nFluent English, both written and spoken.\n\nThe following will be considered a plus:\nExperience with Power BI, including DAX and Power Query/M.\n\nPrevious experience in the banking, financial services or insurance sector.\n\nFamiliarity with cloud platforms such as Azure, AWS or GCP.\n\nKnowledge of Python or Unix/Linux scripting.\n\nBy applying, you accept our GDPR policies. Your personal data in your CV and documents will be used solely for processing your application at SYONE. SYONE, S.A. (NIPC 504729624) is the data controller, located at Rua Alfredo da Silva, 8-A, Edifício Stern, Piso 3D, 2610-016 Amadora. We will use your data to tailor your application to relevant vacancies and for potential employment contracts. If selected, your data will be kept during your employment and for at least two years after. If not selected, your data will be kept for two years for future vacancies and then deleted, except for your contact details. You can exercise your rights (access, rectification, erasure, etc.) by emailing . Your data may be shared with our HR service providers and will be stored securely. You can withdraw your consent at any time. We will not use your data for other purposes without your express consent. For more information, email . 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