{"id":1573084,"url":"https://alion.io/job/ernst-young-ai-data-engineering-consultant-managerial","title":"AI Data Engineering Consultant (Managerial)","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"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":["Jakarta, Indonesia"],"countries":["ID"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-01T02:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-22T11:15:46Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"About EY\nEY is a global leader operating in over 150 countries, delivering exceptional services in Consulting and helping clients transform and strengthen their capabilities. We are committed to building a better working world by creating long-term value for clients, people, and society, while fostering trust in capital markets.\nThis commitment begins with a culture that emphasizes learning, growth opportunities, and innovation-empowering you to make a meaningful impact. At EY, your career is yours to shape, supported by a global network, inclusive culture, and advanced technology. We value your unique perspective and encourage you to bring your voice to help us continuously improve.\nThe Opportunity\nAs an AI Data Engineer, you will play a key role in enabling clients to modernize their data platforms and unlock the value of AI-driven insights. You will work on cutting-edge technologies to design and build scalable, intelligent data solutions, particularly focused on next-generation, AI-driven (agentic) data pipelines beyond traditional ETL approaches.\nThis is a high-growth area within EY, offering strong exposure to innovative projects, emerging technologies, and career advancement opportunities.\nYour Key Responsibilities\nDesign and build scalable, AI-driven/agentic data pipelines for advanced analytics and machine learning use cases\nWork hands-on with modern data platforms such as Databricks, Microsoft Fabric, Snowflake, Spark, Kafka, and Airflow\nDevelop and optimize data processing workflows, ensuring performance, scalability, and reliability\nCollaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions\nEnsure data quality, governance, and integrity across the data lifecycle\n(Optional/Bonus) Contribute to solution architecture, proposals, and RFP responses in consulting engagements\nRequirements\nBachelor’s degree in Computer Science, Engineering, or a related field\nProven experience as a Data Engineer or AI Data Engineer\nHands-on experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, Spark, Kafka, and Airflow\nStrong programming skills (e.g., Python, Scala)\nSolid understanding of modern data architecture and AI-driven data pipelines\nExperience in cloud environments (preferably Microsoft Azure)\nStrong analytical thinking and problem-solving skills\nWhat We Look For\nWe are looking for passionate and forward-thinking individuals who are excited about AI-driven data transformation. 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