About the team
Accenture Strategy and Consulting helps clients grow their businesses in new ways. Its Artificial Intelligence and Analytics teams use data insights to support better decisions and stronger customer relationships. The team develops solutions to reduce costs and improve supply chain and industrial processes, including stock optimization, demand planning and forecasting, automated warranty solutions, and predictive asset maintenance.
Responsibilities
•Work on data engineering tasks, including data ingestion, data quality, and ETL, to design and implement modern, scalable data solutions
•Develop data models and efficient data architecture schemas, from defining data governance policies to making datasets available for business use cases
•Advise and support clients on data processing and data management as part of highly skilled teams
•Partner with global clients and large public- and private-sector organizations
•Design and implement data architectures for clients using high-performance data management technologies
•Design integrations with legacy data sources
•Define standards and best practices for developing applications using new architectures
•Understand and deliver client requirements through effective communication
•Contribute experience and ideas to engineering, design, and strategy
•Contribute to internal networks and special interest groups
•Recommend ways to improve data reliability, efficiency, and quality
•Collaborate with data architects, modelers, and IT team members on project goals
•Build high-performance algorithms, prototypes, and proof of concepts
Requirements
•Advanced programming skills in Python and PySpark; R may also be used
•Knowledge of SQL and NoSQL technologies
•Good knowledge of Big Data technologies, such as Spark, HDFS, and Parquet
•Experience with REST APIs
•Experience with public cloud technologies such as AWS, Azure, or GCP, or private cloud technologies such as Palantir, Splunk, or Cloudera
•A Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, or a related technical field
•Fluent English
Nice to have
•CI/CD exposure (DevOps, Git, Jira, IaC)
•Exposure to ML, AI, and DL with a focus on MLOps (MLFlow, Prefect, TFX)
•Experience with graph databases (Neo4j)
•GenAI
•Data modeling and architecture
•Palantir and Snowflake
Benefits
•Health, life, and accident insurance
•Medical services and wellness programs
•Flexible compensation and stock purchase plans
•Flexible working hours, time off, and vacation programs
•Personalized training paths
•Sustainability programs and Accenture Foundation initiatives
•Employee diversity networks
•Bankinter office perks with special conditions and profit sharing
