JOBILY AI SUMMARY
What you'll do
- Develop data applications and solutions with increasing independence.
- Build and optimize scalable data pipelines and workflows in cloud environments.
- Gather requirements and support data architects in defining data models and architecture.
- Maintain data quality and governance standards with cross-functional teams.
- Align data solutions with business needs.
- Participate in process improvements and apply DevOps practices to streamline workflows.
Key requirements
- 1+ years' experience
- Cloud data engineering, including Azure, AWS, or Google Cloud Platform.
- SQL and Python/PySpark.
- Data warehousing and data management.
- Data pipelines and workflows, including ETL.
- Data modeling and architecture.
- Data quality and governance; Databricks, Microsoft Fabric, and Azure Synapse Analytics.
- Computer Science / Information Systems / Any Fieldpreferred
Benefits
- Competitive salary and benefits include insurance, performance-based bonuses, vouchers, flexible work arrangements, employee share purchase plan, parental leave, paid overtime when needed, and corporate discounts.
- The role offers training, career coaching, mentorship, career development opportunities, and relocation benefits under the Brain Regain initiative.
About the job
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…

