Data Engineering Manager (Data & AI) job opportunity at Accenture Plc.



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Accenture Plc Data Engineering Manager (Data & AI)
Experience: 10 years
Pattern: full-time
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AI & Data

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degreeBachelor's (B.Sc.)
loacation Multiple Locations, Greece
loacation Multiple Locat..........Greece

Are you ready to be a part of the digital reinvention and revolutionize your career? In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting - Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Strategy and Consulting is one of four services –the others are Accenture Song, Technology and Operations WORK YOU’LL DO As part of Data & AI practice, you will combine AI & ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will lead multidisciplinary teams (onshore and offshore) to design and implement solutions using Python, PySpark, Databricks and modern cloud services, ensuring data flows are secure, reliable, performant, and well‑governed. Responsibilities: Lead and mentor a technical team (5–8 engineers) in designing and delivering data‑engineering solutions across cloud platforms (Azure/AWS/GCP). Architect, develop, and optimize ETL/ELT pipelines using Python, PySpark, Databricks, and distributed processing frameworks. Design and maintain scalable data architectures, including data lakes, lakehouses, warehouses, Delta tables, and semantic layers. Establish best practices in data modelling (dimensional, wide‑table, data vault), data quality, metadata management, and data governance. Collaborate with business owners, architects, product managers, and analytics teams to ensure end‑to‑end project delivery. Define standards for data operations, monitoring, lineage, and CI/CD for data workloads. Drive cloud platform adoption and modernization, ensuring solutions meet performance, cost‑efficiency, and compliance requirements. Promote innovation by evaluating new data engineering tools, frameworks, and practices. Mentor junior team members, providing guidelines to ensure high-quality deliverables. Communicate complex technical solutions to senior management and diverse stakeholders effectively. Contribute to sales activities through data and platform architecture expertise Stay updated on industry trends and contribute to internal initiatives, R&D, and business development projects.

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