{"id":1343107,"url":"https://alion.io/job/publicisgroupe-data-engineer-managerspecialist","title":"Data Engineer - Manager/Specialist","company":{"id":46462,"name":"Publicis Groupe","domain":"publicisgroupe.com","url":"https://alion.io/company/publicisgroupe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":41,"ghost_share":0,"stale_share":0,"repost_share":0.049,"time_to_fill_p50_days":12,"computed_at":"2026-11-01T06:10:25Z"}},"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":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":67000,"period":"year","method":"role_country_seniority_unknown","sample_n":184},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","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":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-09-27T16:00:53Z","employer_posted_date":"2026-09-27","last_verified_at":"2026-11-01T04:38:56Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"Company Description\nPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.\nOverview\nYou will lead a team and create technology products that help people have the best experience they have ever had. We are looking for a leader with a strong passion for bothtechnology and people, who is motivated to build outstanding products. The ideal candidatebrings deep technical expertise across multiple technologies, a strong track record of delivery,and proven experience in building and leading high-performance engineering teams.\nResponsibilities\nDesign, implement, and test data pipelines, ETL/ELT processes, and data storage solutions\nBuild and maintain scalable, reliable, and high-performance pipelines for structured andunstructured data\nWork with big data technologies and distributed systems to process and transform largedatasets\nCollaborate with data modelers, data scientists, and solution architects to ensure efficientdata flows and optimal storage\nPartner with data scientists and analysts to deliver clean, well-structured, and accessibledata\nCoordinate with integration teams and data source owners for smooth ingestion of data frommultiple systems\nAutomate provisioning, deployments, and environment management for data platforms\nCreate and support APIs and data services for internal and external consumers\nEnsure solutions meet requirements for scalability, performance, data quality, andgovernance\nQualifications\nHands-on experience with ETL/ELT design and implementation\nFamiliarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)\nExperience with one or more cloud platforms (Azure, AWS, GCP) and modern dataengineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)\nProficiency in programming languages such as Python, Java\nSolid understanding of SQL and experience with both relational and non-relationaldatabases\nExperience with data modeling, schema design, and data partitioning strategies\nKnowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus\nSome exposure to AI and agentic platforms, and familiarity with cloud providers' managed AIservices (e.g., Azure AI Foundry, AWS Bedrock, Vertex AI), is a plus\nSome exposure to DevOps practices and infrastructure (e.g., IaC, containers, cloudinfrastructure) is a plus\nExperience with version control (e.g., Git) and CI/CD practices\nFamiliarity with Agile development methodologies and test management basics\nBachelor's degree in Computer Science, Engineering, or related field (or equivalentexperience)\nStrong teamwork, communication, analytical thinking, and problem-solving skills\nFluent in English, both spoken and written\nCuriosity and drive to continuously learn, adapt, and share knowledge\nAdditional Information\nAn inclusive workplace that promotes diversity and collaboration.\nAccess to ongoing learning and development opportunities.\nCompetitive compensation and benefits package.\nFlexibility to support work-life balance.\nComprehensive health benefits for you and your family.\nGenerous paid leave and holidays.\nWellness program and employee assistance.\nAs part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. 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