Cloud Data Engineer in Athens or Thessaloniki job opportunity at Accenture Plc.



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Accenture Plc Cloud Data Engineer in Athens or Thessaloniki
Experience: 2 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 step up to the New and take your technology expertise to the next level? Accenture’s Data & AI Data Engineering teams empower forward-thinking leaders to unlock the full potential of their data estate. We design and build modern, cloud-native data platforms that enable enterprises to move beyond fragmented, legacy systems into scalable, intelligent architectures that fuel innovation. By combining deep industry expertise with mastery of data engineering, AI, and analytics, we help clients harness the full spectrum of their data — structured, unstructured, and real-time — to deliver actionable insights and power new business models. Leveraging leading technologies across our global partner ecosystem, our teams orchestrate secure, trusted data foundations that accelerate AI adoption and deliver measurable impact. Through the world’s largest delivery network and 100+ innovation hubs, we deliver transformation at speed and scale. From enabling real-time risk management for banks, to powering hyper-personalized customer experiences for retailers, to accelerating sustainability insights for energy companies — our data engineering capabilities help clients not just adapt to change, but consistently stay ahead of it. Together, we turn data into a strategic asset that fuels reinvention, resilience, and sustainable growth. Technology is one of four services–the others are Strategy and Consulting, Interactive and Operations. WORK YOU’LL DO As a Cloud Data Engineer at Accenture, you’ll work in cross-functional teams to help our clients unlock the power of their data. You’ll design, build, and deploy modern data solutions on leading cloud platforms, creating the foundations that enable advanced analytics and AI. Responsibilities: Develop data applications & solutions with a focus on learning core skills and performing tasks without supervision. Handle increasingly complex tasks with moderate supervision, applying learned knowledge to deliver results and solve routine problems. Build and optimize scalable data pipelines and workflows in cloud environments. Support data architects by gathering requirements and helping define data models and architecture. Maintain data quality and governance standards while collaborating with cross-functional teams to align data solutions with business needs. Participate in process improvements and apply DevOps practices to streamline workflows.

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