Senior Data Engineer

Shape the Future of Data as a Senior Data Engineer at Accenture.

In a world defined by constant disruption, data has become the foundation for resilience, reinvention, and growth. Organizations are no longer just managing data — they are re-architecting their business around it to thrive in times of rapid change and position themselves for long-term success.

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.

Together, we turn data into a strategic asset that fuels reinvention, resilience, and sustainable growth.

As a Senior Cloud Data Engineer at Accenture, you will play a key role in designing and delivering modern cloud-based data platforms that power analytics, AI, and business innovation. You’ll partner with clients and cross-functional teams to transform raw business requirements into scalable, high-performance solutions that create real impact.

Responsibilities:

• Guide projects from design to delivery, providing expert technical consultation and contributing to strategic initiatives.
• Lead, mentor, and coach junior team members while managing project deliverables and ensuring high standards of quality.
• Collaborate with clients in workshops to validate business requirements and architect robust Cloud BI/DWH applications.
• Leverage data analysis skills to design, build, test, and deploy advanced ETL processes for enterprise data.
• Ensure the quality of technical designs and deliverables while defining and implementing process improvements and optimization techniques

WHO WE RE LOOKING FOR?

• Bachelor's degree in Computer Science or a related field.
• 5+ years of experience in data engineering, with a focus on cloud platforms like Azure, AWS, or GCP.
• Strong understanding of data management and data warehousing principles.
• Proven experience with Cloud data platforms (e.g Databricks, MS Fabric, Azure Synapse Analytics, Azure DataLake, AWS S3, Google GCP).
• Proficiency in SQL, Python, and PySpark for building scalable and maintainable code.
• Expertise in designing end-to-end data pipelines and implementing DevOps practices like CI/CD.
• Experience with data visualization tools (Power BI, Tableau)
• Experience in project management methodologies (Agile, Waterfall).
• Experience in team leadership and mentorship.
• Relevant industry certifications (Azure, AWS, GCP) are a plus.

WHAT S IN IT FOR YOU?

• Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts
• Continuous hard and soft skills training & development through global platforms & local academy
• Career coaching and mentorship to help you manage your career and develop professionally
• Ongoing strengths and skills based evaluation process
• Various opportunities to develop your career across a spectrum of clients, industries and projects
• Diverse and inclusive culture
• Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)
• Under our Brain Regain initiative, extra relocation benefits may apply

To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.

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