{"id":29370,"url":"https://alion.io/job/a2mac1-data-science-engineer","title":"Data Science Engineer","company":{"id":7990,"name":"A2MAC1","domain":"a2mac1.com","url":"https://alion.io/company/a2mac1","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":90,"open_postings":38,"ghost_share":0.079,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Casablanca, Morocco"],"countries":["MA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":220000,"period":"year","method":null,"sample_n":3503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-04-27T00:00:00Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-09-28T19:50:49Z","board_verified":true,"closed_at":null,"days_open":155,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":154},"description":"We are seeking an experienced Data Science Engineer to join our growing Data & Insights team in Casablanca. In this role, you will be responsible for developing and maintaining scalable data pipelines and architectures, while enabling high-performance analytics and machine learning workflows across the organization.\nYou will work closely with engineering, product, and AI/ML teams to design and deploy advanced data solutions using the Microsoft Fabric ecosystem. Your expertise will help unlock the value of our data, driving business insights and supporting strategic decision-making through robust, production-grade data engineering.\nThis is a key position within our global AI and Data Engineering community, reporting directly to the Engineering Manager.\nGROUP ACTIVITY\nA2MAC1 is the leading provider of automotive benchmarking and data analytics worldwide.\nOur solutions help OEMs and suppliers understand their competitive landscape, accelerate development, and make better strategic decisions based on reliable, structured, and actionable insights.\nThrough our digital platforms, data services, consulting expertise, and AI-driven solutions, A2MAC1 supports the world’s top automotive players.\nWith 700+ employees across Europe, Asia, and North America, A2MAC1 continues its strong growth, driven by innovation and customer success.\nKEY RESPONSIBILITIES\nDesign, build, and maintain robust ETL/ELT data pipelines using Microsoft Fabric tools\nDevelop scalable data warehouse architecture for analytics and reporting\nCollaborate with cross-functional teams (Data Science, AI, Product, Engineering)\nEnsure data quality, security, and compliance across the data lifecycle\nIntegrate structured and unstructured data from multiple sources\nLeverage Python and open-source libraries to enhance data workflows\nMonitor and improve performance of data processing pipelines\nApply best practices in data governance and version control\nRequirements\nPROFILE & SKILLS\nMust-Have\nHands-on experience with Microsoft Fabric ecosystem: OneLake, Data Factory, Data Warehouse, Synapse\nStrong proficiency in Python, SQL, and data transformation libraries (e.g. Pandas, PySpark)\nProven experience designing and implementing ETL/ELT pipelines\nSolid understanding of data modeling and performance optimization\nExcellent problem-solving skills and attention to detail\n3+ years of experience in a production-grade environment\nFluent in English (written and verbal)\nNice to Have\nFamiliarity with machine learning workflows and tools (Azure ML, Scikit-learn, MLflow)\nExperience with Power BI and data visualization best practices\nExposure to DevOps concepts and tools (CI/CD, Azure DevOps)\nRelevant certifications (DP-203, DP-900, or equivalent)\nFluency in French is a plus","description_format":"text","description_chars":2751,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false},{"language":"French","level":"Advanced (C1)","optional":true}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Providers & Datasets","Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-01-16T00:00:00Z"}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.445,"p_room":0.28,"age_days":154,"expected_fill_days":74,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/a2mac1-data-science-engineer","json_url":"https://alion.io/job/a2mac1-data-science-engineer.json","meta":{"generated_at":"2026-09-29T00:29:13Z","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":362,"day_limit":5000,"remaining_today":4638,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}